Secondly, a new method for discretizing continuous evolutionary algorithm is proposed based on the combination of transfer function and modulo operation. Therefrom, a new discrete differential evolution algorith
The distributed manufacturing has become a prevail production mode under the economic globalization. In this article, a memetic discrete differential evolu
problems, the CJWTA problemrequires the algorithmem- ployed should converge faster, the solutions found by the algorithm should with high precision and the algorithm should with strong universality and robustness. Thus, we attempt to employ differential evolution (DE) technique to solve the CJWTA ...
al gorith m sho uld with high precision and the algorithm should w ith strong univ ersality and robu stne ss .T hus,w e attemp t to employ differential evo lution rD E 1 technique to solve the CJW T A prob lem in this PaDeL T he D E was re. ...
Complex & Intelligent Systems (2022) 8:141–161 https://doi.org/10.1007/s40747-021-00354-5 ORIGINAL ARTICLE A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem Fuqing Zhao1 · Xiaotong Hu1 · Ling Wang2 · Zekai Li1 Received: 24 ...
differential evolution algorithm randomly generates many sets of microscopic parameters. Then it pinpoints some sets of microscopic parameters whose macroscopic parameters are close to the given macroscopic parameters. The differential evolution algorithm then generates new sets of microscopic parameters from ...
The first contribution involves the incorporation of a Hybrid Differential Evolution Algorithm to accelerate the optimization of synaptic weights during the training phase. Additionally, the retrieval phase is enhanced by proposing a swarm mutation operator, which diversifies the final neuron states, ...
improved.Theproposedalgorithmobtainscompetitiveperformancecomparedwithothersparse representationmethodsbasedonevolutionalgorithm.Finally,therationalityoftheparameterssettingin theproposedalgorithmisverifiedbyresultanalysis. KeyWordsSparseRepresentation,Multi population,DifferentialEvolution(DE),MatchingPursuit ...
Keywords:Optimizationalgorithm;Discreteparticleswarm;Differentialevolution;Traveling salesmanproblem 1引言 TSP问题是诸多领域内出现的多种复杂问题的 集中概括和简化,是图论、运筹学和组合优化中的 NP难问题,常被用于对智能启发式算法有效性的验 证。虽然它的数学描述很简单,但却很难精确求出 最优解,另一方面很多研究...
Mozdgir A, Mahdavi I, Badeleh IS, Solimanpur M (2013) Using the Taguchi method to optimize the differential evolution algorithm parameters for minimizing the workload smoothness index in simple assembly line balancing. Math Comput Model 57(1–2):137–151. https://doi.org/10.1016/j.mcm.201...