Work

Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes

Year: 2016

Type: article

Source: Soft Computing

DOI: 10.1007/s00500-016-2076-3

Authors: Shengxiang Yang, Shouyong Jiang, Yong Jiang

Institutions: Nanjing University of Information Science and Technology, De Montfort University

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Engineering and Physical Sciences Research Council

Awards: Evolutionary Computation for Dynamic Optimisation in Network Environments, G5408680325

OpenAlex ID: W2278034838

FWCI: 7.446

Cites: 48

Cited by: 87

Related to: 10