Fuzzy adaptive cat swarm algorithm and Borda method for solving dynamic multi‐objective problems. Issue 4 (19th June 2018)

• Record Type: Journal Article
• Authors: Orouskhani, Maysam; Shi, Daming
• Other Names: Cortez Paulo guestEditor.; Santos Manuel Filipe guestEditor.
• Is Part Of: Expert systems. Volume 35:Issue 4(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-06-19
• Subjects: Borda method -- dynamic multi‐objective algorithm -- fuzzy CSO; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12286
• Languages: English
• ISSNs: 0266-4720

Abstract

Abstract: The main goal of this paper is to introduce a novel dynamic multi‐objective optimization algorithm. First, after detecting the environmental changes, Borda count ranking method is applied to population in order to assign the Borda score to each individual, and then the lowest score individuals are removed from population and replaced with new created solutions. Furthermore, fuzzy adaptive multi‐objective cat swarm optimization algorithm is used to estimate the Pareto‐optimal front in which its parameters are tuned to new environment by Mamdani fuzzy rules when a change occurs. Performance of the proposed algorithm is tested on dynamic multi‐objective benchmarks and is compared with recent achievements. The simulations show the quite satisfactory results and higher performance of the proposed method in comparison with traditional approaches.