基于差分进化算法的聚类:A Differential Evolution Algorithm with Ada Niching and K-Means Op for Data Clustering Freeman449 2 人赞同了该文章 概述 通过最小化类内方差实现聚类是一个NP难的问题,因此,有作者提出使用进化计算来解决聚类问题。早期基于传统进化算法的方法具有计算复杂度高的问题,同时容易受困于局部...
Asafuddoula, M., Ray, T., Sarker, R.: A differential evolution algorithm with constraint sequencing. In: 2012 Third Global Congress on Intelligent Systems (GCIS), pp. 68–71 (2012)Asafuddoula M, Ray T, Sarker R (2015) A differential evolution algorithm with constraint sequencing: an ...
Azaron, A differential evolution algorithm to solve multi-skilled project portfolio scheduling problems, Int. J. Adv. Manuf. Tech., 64 (2013) 1099-1111.H. Kazemipoor, R. Tavakkoli Moghaddam, P. Shahnazari-Shahrezaei, and A. Azaron, "A differential evolution algorithm to solve multi- ...
(2022). PAIDDE: A permutation-archive information directed differential evolution algorithm.IEEE Access,10, 50384-50402. [9]ZHANG, B., YANG, H., ZHENG, T., WANG, R. L., & GAO, S. (2023). A Non-Revisiting Equilibrium Optimizer Algorithm.IEICE Transactions on Information and Systems,106...
differential evolution (DE) algorithm. In the iterative process, the global exploration ability of invasive weed optimization algorithm provides effective search area for differential evolution; at the same time, the heuristic search ability of differential evolution algorithm provides a reliable guide for...
差分进化算法(Differential Evolution,以下简称DE)正是这种方法。自1995年发表以来,DE被誉为一种非常高效的全局优化器。但DE并非万能,它良好的可靠性及鲁棒性需要每个科学家及工程师的智慧。 DE源于遗传退火算法(Genetic Annealing Algorithm),由Kenneth Price提出并发表在Dr.Dobb′s Journal (DDJ) 1994年10月刊上,...
In recent years, with the rapid development of computational intelligence, computational intelligence techniques have also been used to solve nonlinear equations, such as genetic algorithm [1–3], particle swarm optimization algorithm [4], differential evolution algorithm [5], artificial fish-swarm ...
This study introduces an enhanced self-adaptive wild goose algorithm (SAWGA) for solving economical-environmental-technical optimal power flow (OPF) problems in traditional and modern energy systems. Leveraging adaptive search strategies and robust diversity capabilities, SAWGA distinguishes itself from clas...
computational intelligence techniques have also been used to solve nonlinear equations, such as genetic algorithm [1–3], particle swarm optimization algorithm [4], differential evolution algorithm [5], artificial fish-swarm algorithm [6], artificial bee colony algorithm [7] harmony search algorithm ...
Evolution algorithmThe performance of differential evolution algorithms is sensitive to the population size, and most existing population size control methods continuously reduce the population during the iteration process, which decreases the exploration ability and makes it difficult to prevent a premature ...