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Research article

Dynamic allocation of opposition-based learning in differential evolution for multi-role individuals

  • Opposition-based learning (OBL) is an optimization method widely applied to algorithms. Through analysis, it has been found that different variants of OBL demonstrate varying performance in solving different problems, which makes it crucial for multiple OBL strategies to co-optimize. Therefore, this study proposed a dynamic allocation of OBL in differential evolution for multi-role individuals. Before the population update in DAODE, individuals in the population played multiple roles and were stored in corresponding archives. Subsequently, different roles received respective rewards through a comprehensive ranking mechanism based on OBL, which assigned an OBL strategy to maintain a balance between exploration and exploitation within the population. In addition, a mutation strategy based on multi-role archives was proposed. Individuals for mutation operations were selected from the archives, thereby influencing the population to evolve toward more promising regions. Experimental results were compared between DAODE and state of the art algorithms on the benchmark suite presented at the 2017 IEEE conference on evolutionary computation (CEC2017). Furthermore, statistical tests were conducted to examine the significance differences between DAODE and the state of the art algorithms. The experimental results indicated that the overall performance of DAODE surpasses all state of the art algorithms on more than half of the test functions. Additionally, the results of statistical tests also demonstrated that DAODE consistently ranked first in comprehensive ranking.

    Citation: Jian Guan, Fei Yu, Hongrun Wu, Yingpin Chen, Zhenglong Xiang, Xuewen Xia, Yuanxiang Li. Dynamic allocation of opposition-based learning in differential evolution for multi-role individuals[J]. Electronic Research Archive, 2024, 32(5): 3241-3274. doi: 10.3934/era.2024149

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  • Opposition-based learning (OBL) is an optimization method widely applied to algorithms. Through analysis, it has been found that different variants of OBL demonstrate varying performance in solving different problems, which makes it crucial for multiple OBL strategies to co-optimize. Therefore, this study proposed a dynamic allocation of OBL in differential evolution for multi-role individuals. Before the population update in DAODE, individuals in the population played multiple roles and were stored in corresponding archives. Subsequently, different roles received respective rewards through a comprehensive ranking mechanism based on OBL, which assigned an OBL strategy to maintain a balance between exploration and exploitation within the population. In addition, a mutation strategy based on multi-role archives was proposed. Individuals for mutation operations were selected from the archives, thereby influencing the population to evolve toward more promising regions. Experimental results were compared between DAODE and state of the art algorithms on the benchmark suite presented at the 2017 IEEE conference on evolutionary computation (CEC2017). Furthermore, statistical tests were conducted to examine the significance differences between DAODE and the state of the art algorithms. The experimental results indicated that the overall performance of DAODE surpasses all state of the art algorithms on more than half of the test functions. Additionally, the results of statistical tests also demonstrated that DAODE consistently ranked first in comprehensive ranking.



    The Lévy process [1] is commonly defined by the characteristic function exp(cα|k|αt), wherein α denotes the Lévy index, k is the variable in the Fourier space, and cα is a constant. In recent years, Lévy-type behaviors have been widely used to interpret signatures of anomalous thermal transport in low-dimensional systems [2,3,4,5,6,7]. A typical example is the power-law size-dependence of the effective thermal conductivity κeff [4,8,9,10,11], namely,

    κeff=κeff(L)Lγ (1.1)

    with L denoting the system size. Based on the Monte Carlo technique for solving the phonon Boltzmann transport equation, Upadhyaya and Aksamija [5] have observed a Lévy-type (or heavy-tailed) distribution of the phonon mean free paths in Si-Ge alloy nanowires, which gives rise to a divergent exponent γ=1/133. Denisov and co-authors [12] connected the size-dependence exponent to the Lévy index α(1,2) for one-dimensional dynamical channels, γ=2α. This relation is supported by a recent investigation on the long-range interacting Fermi-Pasta-Ulam chains [7]. Furthermore, the results in Si-Ge alloy nanowires and one-dimensional dynamical channels also show that the Lévy processes will be paired with another signature of anomalous thermal transport, the superdiffusive growth of the mean-square energy displacement [5],

    Δx2e(t)tβ (1.2)

    with β(1,2). The coexistence of the Lévy-type regimes and superdiffusive thermal transport has also been acquired in semiconductor alloys [6] and two-dimensional nonlinear lattices [8].

    There is another conceptual connection between the Lévy processes and anomalous thermal transport in low-dimensional systems, the spatial fractional-order operators [13,14,15]. For instance, the energy perturbation δe(x,t) in the one-dimensional harmonic chains is commonly governed by a 3/4-fractional diffusion equation [14,15] as follows

    t[δe(x,t)]=C0(Δ)3/344[δe(x,t)] (1.3)

    wherein C0 is a positive constant and (Δ)3/344 stands for the fractional Laplacian operator [16,17]. For infinite space like R, (Δ)3/344 is generally defined in terms of the Fourier transform, namely,

    Fk{(Δ)3/344[δe(x,t)]}=|k|3/322Fk{δe(x,t)} (1.4)

    with Fk{...} the Fourier transform operator. At the microscopic level, Eq (1.3) can be obtained from the Boltzmann transport equation with a certain collision term [18,19,20,21,22]. In these studies, the Lévy-type behaviors are observed based on the specific physical regimes of the heat carriers, which differ from model to model, yet generic mathematical descriptions are not much involved with signatures of anomalous thermal transport. In mathematics, spatial fractional-order governing equations are widely applied to the Lévy processes [23,24,25], including the Lévy flights in a confined domain [0,L]. The main aim of this work is to address anomalous thermal transport which is dominated the confined Lévy flights, which has not been discussed by previous investigations.

    The simplest mathematical description of the confined Lévy flights is the following symmetric Lévy-Fokker-Planck equation [23]

    P(x,t)t=Kα2cos(πα2)[RL0Dαx+RLLDαx]P(x,t)=Kα2cos(πα2)Γ(2α)2x2[L0P(x,t)|xx|α1dx], (1.5)

    where P(x,t) denotes the probability density function (PDF), Kα is the noise intensity with the dimension |x|αt1, RLLDαx and RL0Dαx stand for the right-hand and left-hand Riemann-Liouville operators respectively. For engineering or experimental problems, the boundary points must be attained, which will give rise to infinite Lévy measure. In this work, we apply Eq (1.5) to one-dimensional thermal transport, wherein the PDF is defined in terms of the correlation function of the energy fluctuations [3], namely,

    {P(x,t)=[L0Cu(x,t=0)dx]1Cu(x,t)Cu(x,t)=u(x,t)u(x=0,t=0)u(x,t)u(x=0,t=0) (1.6)

    with u(x,t) the density of the thermal energy. Eq (1.5) corresponds to nonlocal thermal transport, namely that the temporal evolution of the energy fluctuations at x=x0 depends on the global distribution of the energy fluctuations in [0,L]. For arbitrary ε(0,min{x0,Lx0}), the distributions in [x0ε,x0) and (x0,x0+ε] have the same contribution to the temporal evolution at x=x0, which indicates that the nonlocality is symmetric. Based on the entropic functionals, a connection between the evolution of the PDF and thermal transport is established. Anomalous features of thermal transport thereafter arise from the entropic connection, including the nonlocality of the local effective thermal conductivity, power-law size-dependence of the global effective thermal conductivity, and nonlinear boundary asymptotics of the stationary temperature profile. Thermal transport and confined Lévy flights.

    The Lévy-Fokker-Planck equation describes the evolution of the PDF, while thermal transport focuses on thermodynamic quantities, i.e., the heat flux Jq(x,t) and local temperature T(x,t). In order to link the Lévy-Fokker-Planck equation to thermal transport, we consider the following entropy density in the framework of Boltzmann-Gibbs statistical mechanics,

    s(x,t)=kBP(x,t)lnP(x,t) (2.1)

    where kB is the Boltzmann constant. The temporal derivative of s(x,t) should be restricted by the entropy balance equation as follows

    s(x,t)t=kBP(x,t)t[lnP(x,t)+1]=JS(x,t)x+σ(x,t). (2.2)

    wherein JS(x,t) denotes the entropy flux and σ(x,t) is the density of the entropy production rate. Besides the entropy balance equation, there is another restriction termed as continuity equation,

    P(x,t)t=J(x,t)x (2.3)

    where J(x,t) is the probability current. Substituting Eq (2.3) into Eq (2.2) yields

    s(x,t)t=kBJ(x,t)x[lnP(x,t)+1]=kBx{J(x,t)[lnP(x,t)+1]}kBJ(x,t)x[lnP(x,t)+1]=JS(x,t)x+σ(x,t), (2.4)

    and we thereafter arrive at

    JS(x,t)=kBJ(x,t)[lnP(x,t)+1] (2.5)
    σ(x,t)=kBJ(x,t)x[lnP(x,t)+1]=kBJ(x,t)P(x,t)P(x,t)x. (2.6)

    Then, J(x,t) and P(x,t) can be connected to thermal transport via the relationship between {JS(x,t),σ(x,t)} and {Jq(x,t),T(x,t)}.

    For thermal transport not far from local equilibrium, Boltzmann-Gibbs statistical mechanics typically coincides with classical irreversible thermodynamics [26], which gives the following expressions for the above entropic functionals,

    s(x,t)=T(x,t)cdTT+seq (2.7)
    JS(x,t)=1T(x,t)Jq(x,t) (2.8)
    σ(x,t)=Jq(x,t)x[1T(x,t)] (2.9)

    where seq is the entropy density independent of thermal transport, and c is the specific heat capacity per volume. Upon combining Eqs (2.8) and (2.9) with Eqs (2.5) and (2.6) respectively, one can derive the relations between {J(x,t),P(x,t)} and {Jq(x,t),T(x,t)}, namely,

    Jq(x,t)=kBT(x,t)J(x,t)[lnP(x,t)+1] (2.10)
    cJ(x,t)T(x,t)x=Jq(x,t)P(x,t)x (2.11)

    The two relations do not rely on specific constitutive models between J(x,t) and P(x,t), which remains valid for various generalized Fokker-Planck equations besides the Lévy-Fokker-Planck equation.

    For the Lévy-Fokker-Planck equation, the constitutive model between J(x,t) and P(x,t) is given by [27]

    J(x,t)=Kα2cos(πα2)Γ(2α)x[L0P(x,t)|xx|α1dx] (2.12)

    and substituting it into Eqs (2.10) and (2.11) leads to

    Jq(x,t)=kBKαT(x,t)[lnP(x,t)+1]2cos(πα2)Γ(2α)x[L0P(x,t)|xx|α1dx] (2.13)
    KαcT(x,t)x2cos(πα2)Γ(2α)x[L0P(x,t)|xx|α1dx]=Jq(x,t)P(x,t)x (2.14)

    Equation (2.13) exhibits a nonlocal behavior of the heat flux, namely that the heat flux at x0[0,L] depends on not only the PDF and local temperature at x0 but also all states in [0,L]. In other words, any points in [0,L] will contribute to the heat flux at x0. Such nonlocality will vanish in the limit α2, which leads to a degeneration into the standard diffusion equation. In this degenerate case, Eq (2.13) becomes

    Jq(x,t)=Kα=2kBT(x,t)P(x,t)x[lnP(x,t)+1] (2.15)

    which illustrates that the diffusive heat flux is proportional to the PDF gradient. Note that the gradient of the entropy density is written as

    s(x,t)x=kBP(x,t)x[lnP(x,t)+1]=cT(x,t)T(x,t)x. (2.16)

    Combining Eqs (2.15) and (2.16) yields

    Jq(x,t)=Kα=2T(x,t)s(x,t)x=Kα=2cT(x,t)x. (2.17)

    and we now obtain a constitutive relation between Jq(x,t) and T(x,t)x. Furthermore, the diffusive limit α2 implies normal thermal transport (β=1), wherein Jq(x,t) and T(x,t)x generally obey conventional Fourier's law, namely,

    Jq(x,t)=κT(x,t)x (2.18)

    Here, κ is the so-called thermal conductivity, which is an intrinsic material property and independent of geometric parameters such as the system size. It is found that Eqs (2.17) and (2.18) will possess a same formulation as if κKα=2c. This degeneration to Fourier's law is physical reasonable and in agreement with existing understandings of anomalous thermal transport [2,3,4]. In the degeneration case, the Lévy process becomes the Gauss process. Meanwhile, Fourier's law corresponding to Eq (2.15) is paired with a parabolic governing equation of the local temperature [3], whose solution for initial thermal perturbation is Gaussian as well. Thus, Eq (2.15) also corresponds to the Gauss case. Nevertheless, κKα=2c is not unconditionally tenable. As material properties, κ and c generally vary as the local temperature changes, whereas Kα is assumed to be a constant. Therefore, κKα=2c is valid only if κ and c have a same temperature-dependence. This assumption commonly holds at the low temperature, yet is usually invalid in the high-temperature situations [28,29,30], wherein κ decays with the increasing temperature and c vanishingly varies.

    For α(1,2), Eq (2.14) can still be reformed as a Fourier-like constitutive relation

    {Jq(x,t)=κloceffT(x,t)xκloceff=Kαc[P(x,t)x]1x[L0P(x,t)|xx|α1dx]2cos(πα2)Γ(2α) (2.19)

    Because the prefactor κloceff is determined by the all states in [0,L], it cannot be formulated as a functional of the local temperature like κloceff=κloceff[T(x,t)]. It implies that κloceff is not a well-defined intrinsic property, and hence, Fourier's law no longer holds. From the viewpoint of physics, κloceff can be understood as the local effective thermal conductivity. There are several aspects which need careful discussion. First, the derivation of κloceff relies on the framework of classical irreversible thermodynamics, which requires the non-negative entropy production rate in Eq (2.9). This requirement is equivalent to κloceff0, which leads to

    P(x,t)xx[L0P(x,t)|xx|α1dx]0 (2.20)

    Furthermore, as a thermodynamically irreversible process, non-vanishing thermal transport (Jq(x,t)0) must be paired with a strictly positive value of the entropy production rate. Conversely, if the total entropy production rate of a system is zero, this system must be in thermal equilibrium, which indicates that Jq(x,t)0 and t0. In the framework of classical irreversible thermodynamics, the thermodynamic restriction stated above corresponds to the following corollary

    {sup0xL|Jq(x,t)|>0L0Jq(x,t)x[1T(x,t)]dx>0L0Jq(x,t)x[1T(x,t)]dx=0Jq(x,t)0 (2.21)

    As a physically meaningful quantity, the supremum sup0xL|Jq(x,t)| should be attained. Singular κloceff can arise from Jq(x,t)0 and T(x,t)x0, which will invalidate corollary (2.21). For the PDF, the above corollary becomes

    {sup0xL|x[L0KαP(x,t)|xx|α1dx]|>0L0P(x,t)xx[L0KαP(x,t)|xx|α1dx]2cos(πα2)Γ(2α)P(x,t)dx<0L0P(x,t)xx[L0KαP(x,t)|xx|α1dx]2cos(πα2)Γ(2α)P(x,t)dx=0x[L0KαP(x,t)|xx|α1dx]0 (2.22)

    It is demonstrated that not all solutions of Eq (1.5) can coexist with classical irreversible thermodynamics in the near-equilibrium region. The coexistence of the Lévy-Fokker-Planck equation and classical irreversible thermodynamics relies on restrictions (2.20) and (2.22), which correspond to 0κloceff<+.

    According to the result in [23], the equilibrium solution of the Lévy-Fokker-Planck equation is given by

    Peq(x)=Γ(α)L1α[x(Lx)](α2)/(α2)22Γ2(α/α22) (2.23)

    Non-uniform Peq(x) will give rise to a non-uniform temperature distribution, namely,

    ds(x)dx|Jq0=cT(x)|Jq(x,t)0d[T(x)|Jq(x,t)0]dx=kBdPeq(x)dx[lnPeq(x)+1]d[T(x)|Jq(x,t)0,xL/L22]dx0. (2.24)

    From a physical perspective, it is non-trivial that the non-vanishing temperature gradient coexists with the thermal equilibrium state, which means absolute thermal insulation, κloceff0. Furthermore, Peq(x) is singular at the boundary, which will induces infinite boundary temperatures. These non-trivial behaviors have not been observed in existing studies on anomalous thermal transport [2,3,4].

    If the temperature distribution is uniform in the absence of thermal transport, the equilibrium PDF should be written as

    P(x)|J(x,t)0=L1 (3.1)

    For the Lévy-Fokker-Planck equation, this equilibrium solution can be acquired via replacing the Riemann-Liouville operator by the Caputo operator [31], and the constitutive relation between J(x,t) and P(x,t) thereafter becomes

    J(x,t)=Kα2cos(πα2)Γ(2α)[L01|xx|α1P(x,t)xdx] (3.2)

    The corresponding local effective thermal conductivity reads

    κloceff=Kαc[P(x,t)x]1[L01|xx|α1P(x,t)xdx]2cos(πα2)Γ(2α) (3.3)

    which is still nonlocal. The thermodynamic restrictions for {Jq(x,t),T(x,t)} remain unchanged, and the restrictions on the PDF take the following forms

    {P(x,t)x[L01|xx|α1P(x,t)xdx]0sup0xL|L0Kα|xx|α1P(x,t)xdx|>0L0L0[KαP(x,t)xP(x,t)x|xx|α1]dxdx<0L0L0[KαP(x,t)xP(x,t)x|xx|α1]dxdx=0[L0Kα|xx|α1P(x,t)xdx]0 (3.4)

    which are equivalent to 0κloceff<+ likewise.

    We now consider stationary thermal transport in the presence of a small temperature difference, namely,

    |δT|min{T(x=L),T(x=0)}, δT=T(x=L)T(x=0) (3.5)

    which yields

    |δP|min{P(x=L),P(x=0)}, δP=P(x=L)P(x=0) (3.6)

    In this case, the solution of the modified Lévy-Fokker-Planck equation is written as

    P(x)=P(x=0)+{x0[y(Ly)]α21dy}δPL0[y(Ly)]α21dy (3.7)

    Preconditions (3.5) and (3.6) enable us to employ the following expansion

    δs=s(x=L)s(x=0)=c0T0[δT+o(δT)]=kB[δP(lnP0+1)+o(δP)], (3.8)

    where c0 is the specific heat capacity at T0, T0 and P0 are the averaged temperature and probability density respectively. With the remainder term neglected, we arrive at

    δTkBT0c0δP(lnP0+1) (3.9)

    Similarly, the entropy flux can be expanded as

    JS=Jq[1T0+o(δT)T20]=πkBKα[lnP0+1+o(δP)]δPcos(πα2)sin(πα2)Γ(α)Lα1{10[z(1z)]α21dz}. (3.10)

    From Eq (3.10), one can derive the following expression of the heat flux

    JqπkBT0Kα(lnP0+1)δPcos(πα2)sin(πα2)Γ(α)Lα1{10[z(1z)]α21dz} (3.11)

    Stationary thermal transport is typically characterized by the global effective thermal conductivity as follows [2,3,4],

    κgloeff=JqLδT (3.12)

    which can be obtained through combining Eqs (3.9) and (3.11), namely,

    κgloeff=πKαc0L2αcos(πα2)sin(πα2)Γ(α)10[y(1y)]α21dy (3.13)

    The power-law size-dependence of the effective thermal conductivity presently occurs, while the size-dependence exponent is γ=2α. This relation between γ and α formally coincides with Ref. [12], but it is derived from the confined Lévy flight rather than the Lévy walk model. In existing numerical and experimental investigations [2,3,4], the range of the size-dependence exponent is observed as γ1. This range will not allow the case of 0<α<1, that is why the Lévy exponent is restricted as 1<α<2.

    In the following, the local effective thermal conductivity will be discussed. Since Jq is already known, we only need to consider the expression of dT(x)dx, which can be acquired from the following expansion

    ds(x)dx=c0[1T0+o(δT)T20]dT(x)dx=kB[lnP0+1+o(δP)]dP(x)dxdT(x)dxkBT0(lnP0+1)[x(Lx)]α21δPc0{L0[y(Ly)]α21dy}. (3.14)

    The local effective thermal conductivity is subsequently presented as follows

    κloceff=[dT(x)dx]1Jq=πKαc0[x(Lx)]1α2cos(πα2)sin(πα2)Γ(α). (3.15)

    which depends on not only the system size but also the location. Eq (3.14) also exhibits another signature of anomalous thermal transport, the nonlinear boundary asymptotics of the stationary temperature profile [4], namely,

    {limx0+|T(x)T(x=0)|xα2limxL|T(x=L)T(x)|(Lx)α2 (3.16)

    In the diffusive limit α2, κloceff will be independent of the system size and location, and meanwhile, the asymptotic exponent χ=α/α22 becomes linear. All of these degenerate behaviors agree with Fourier's law, which is physically reasonable. It should be underlined that the expanding approach stated above is inapplicable to the standard Lévy-Fokker-Planck equation based on the Riemann-Liouville operator. That is because the assumption of sufficiently small temperature difference (δTT0) is invalid for the Riemann-Liouville operator.

    The symmetric Lévy-Fokker-Planck equation is applied to investigating anomalous thermal transport in a one-dimensional confined domain. Based on the frameworks of classical irreversible thermodynamics and Boltzmann-Gibbs statistical mechanics, we establish a connection between the evolution of the probability density function and thermal transport dominated by the confined Lévy flights. The expression of the local effective thermal conductivity is derived as a nonlocal formula, which depends on all states in the domain. The thermal transport process therefore becomes anomalous. It is demonstrated that the diffusive limit α2 will lead to the degeneration into conventional Fourier's law of heat conduction as if the thermal conductivity and specific heat capacity possess the same temperature-dependence. The thermodynamic connection between the Lévy-Fokker-Planck equation and anomalous thermal transport relies on the near-equilibrium assumption, which needs certain physical restrictions on the evolution of the probability density function. It is found that the Riemann-Liouville operator will be paired with thermodynamically non-trivial behaviors, namely that the equilibrium state corresponds to the non-uniform temperature distribution and infinite boundary temperature. In order to avoid the non-uniform equilibrium state, the Lévy-Fokker-Planck equation is modified in terms of the Caputo operator. It is shown that the modified Lévy-Fokker-Planck equation will give rise to two signatures of anomalous thermal transport, the power-law size-dependence of the global effective thermal conductivity and nonlinear boundary asymptotics of the stationary temperature profile. The results illustrate that the anomalies of Lévy-based thermal transport are not independent of each other, and should fulfill certain quantitative relations. For instance, the size-dependence exponent of the global effective thermal conductivity and asymptotic exponent of the stationary temperature profile are constrained by γ=22χ. The quantitative relations can be used to test whether a specific thermal transport process is dominated by the confined Lévy flights.

    We are extremely grateful for Pei-Ming Xu and Shu-Jie Zhang for fruitful comment. This work was supported by the National Natural Science Foundation of China (Grant Nos. 51825601, U20A2031).

    The authors declare no conflict of interest.



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