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ORCIDSwarm and Evolutionary Computation, Volume 51
Volume 51, December 2019
- Lijun He, Wenfeng Li, Yu Zhang, Yulian Cao
:
A discrete multi-objective fireworks algorithm for flowshop scheduling with sequence-dependent setup times. - Adan E. Aguilar-Justo, Efrén Mezura-Montes:
A local cooperative approach to solve large-scale constrained optimization problems. - Diego Oliva, Sayan Nag, Mohamed E. Abd Elaziz, Uddalok Sarkar, Salvador Hinojosa:
Multilevel thresholding by fuzzy type II sets using evolutionary algorithms. - Dongping Tian, Xiaofei Zhao, Zhongzhi Shi:
Chaotic particle swarm optimization with sigmoid-based acceleration coefficients for numerical function optimization. - Zhuhong Zhang:
Fast multiobjective immune optimization approach solving multiobjective interval number programming. - Deepak Sharma, Pradyumn Kumar Shukla:
Line-prioritized environmental selection and normalization scheme for many-objective optimization using reference-lines-based framework. - Seyedeh Zahra Mirjalili, Seyedali Mirjalili, Hongyu Zhang, Stephan K. Chalup, Nasimul Noman:
Improving the reliability of implicit averaging methods using new conditional operators for robust optimization. - Mohamad Roshanzamir, Maziar Palhang, Abdolreza Mirzaei:
Graph structure optimization of Genetic Network Programming with ant colony mechanism in deterministic and stochastic environments. - Gürcan Yavuz, Dogan Aydin:
Improved Self-adaptive Search Equation-based Artificial Bee Colony Algorithm with competitive local search strategy. - Zhen Wang, Jihui Zhang, Shengxiang Yang:
An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals. - Lenka Skanderová, Tomas Fabian, Ivan Zelinka:
Self-adapting self-organizing migrating algorithm. - Sumit Mishra, Sriparna Saha, Samrat Mondal, Carlos A. Coello Coello:
Divide-and-conquer based non-dominated sorting with Reduced Comparisons. - Luciano Perdigão Cota, Frederico G. Guimarães, Roberto G. Ribeiro, Ivan Reinaldo Meneghini, Fernando B. de Oliveira, Marcone J. F. Souza, Patrick Siarry:
An adaptive multi-objective algorithm based on decomposition and large neighborhood search for a green machine scheduling problem. - Antonio Benítez-Hidalgo, Antonio J. Nebro, José García-Nieto, Izaskun Oregi, Javier Del Ser:
jMetalPy: A Python framework for multi-objective optimization with metaheuristics. - Yihang Feng, Bin Hu, Changying Ke:
The influence of franchisee loss on logistics network: A new perspective from NK model. - Jianghan Zhu, Huangke Chen, Guohua Wu, Li Chen, Haifeng Li:
Pressure point driven evolutionary algorithm for many-objective optimization. - Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin:
Evolutionary algorithms for many-objective cloud service composition: Performance assessments and comparisons. - Haopeng Zhang, Siheng Su:
A hybrid multi-agent Coordination Optimization Algorithm. - Chiman Salavati, Alireza Abdollahpouri:
Identifying influential nodes based on ant colony optimization to maximize profit in social networks.
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