An effective co-evolutionary differential evolution for constrained optimization

By Fuzhuo Huang, Ling Wang, Qie He. Applied Mathematics and Computation, 2007

550 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/91def80765d761d1e8a8db14ba09f07ebbab7da7

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Citations in the corpus

Stochastic Fractal Search: A powerful metaheuristic algorithm (2015, methodology): “Table 14 lists the optimal solutions that have been determined by GA [40], CEPSO [41], CEDE [42], PSO [45], Nonlinear integer and discrete programming (NIDP) [44], as well as the proposed SFS in this study, and their statistical results are given in Table 15.”
Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization (2010, methodology): “In [5], DE based on a co-evolution mechanism, named CDE, is proposed to solve COPs.”
Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems (2011, unknown): “Hu et al. [65] 6059.131 NA NA NA Huang et al. [ 66 ] 6059.734 6085.23 6371.046 43.013”
Grey Wolf Optimizer (2014, methodology): “The heuristic methods that have been adopted to optimize this problem are: PSO [58], GA [57, 60, 69], ES [59], DE [62], and ACO [70].”
Equilibrium optimizer: A novel optimization algorithm (2020, unknown): “Meta-heuristic algorithms [38,40,44,53,54] have been used to solve this problem.”
Differential Evolution: A Survey of the State-of-the-Art (2011, methodology): “[31] presented a cooperative-coevolutionary approach in conjunction with DE for constrained optimization problems.”
Harris hawks optimization: Algorithm and applications (2019, methodology): “P = 6000lb, L = 14in, E = 30 × 106psi,G = 12 × 106psi, The optimal results of HHO versus those attained by RAN18 DOM [89], DAVID [89], SIMPLEX [89], APPROX [89], GA1 [72], 19 GA2 [82], HS [90], GSA [18], ESs [80], and CDE [91] are repre20 sented in Table 13.”
Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems (2011, unknown): “This problem was solved by the different optimization methods: Multimem-bered Evolutionary Strategy (M-ES) [14], Particle Evolutionary Swarm Optimization (PESO) [15], Cultural Differential Evolution (CDE) [16], Co-evolutionary Differential Evolution (CoDE) [17] and Artificial Bee Colony (ABC) [18].”
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems (2021, methodology): “In [33] and [34], a coevolutionary genetic algorithm and a differential evolution algorithm were proposed for constrained optimization, respectively.”