New Hybrid Non-Dominated Sorting Differential Evolutionary Algorithm
| Autor: | Mohammad Bakhshipour, Nooshin Bahador, Farhad Namdari |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Meta-optimization Control and Optimization Computer Networks and Communications 020209 energy Population-based incremental learning Evolutionary algorithm 02 engineering and technology Multi-objective optimization 0202 electrical engineering electronic engineering information engineering Hybrid algorithm Computer Science (miscellaneous) Electrical and Electronic Engineering Relay coordination Instrumentation Mathematics FSA-Red Algorithm Sorting PSO Particle swarm optimization Multi objective obtimization Hardware and Architecture Control and Systems Engineering NSDE Power system protection IFCL Algorithm Information Systems |
| Zdroj: | Bulletin of Electrical Engineering and Informatics. 5 |
| ISSN: | 2302-9285 2089-3191 |
| DOI: | 10.11591/eei.v5i2.619 |
| Popis: | This paper presents a new multi objective optimization algorithm with the aim of complete coverage, faster global convergence and higher solution quality. In this technique, the high-speed characteristic of particle swarm optimization (PSO) is combined with non-dominated differential evolutionary (NSDE) and an efficient multi objective optimization algorithm is created. This method posses high convergence characteristic in quite less execution times. Generating fewer populations to find the Pareto front also makes the proposed algorithm use less memory. For the purpose of performance evaluation, the algorithm is verified with four benchmarking functions on its global optimal search ability and compared with two recognized algorithm to assess its diversity. The capability of the suggested algorithm in solving practical engineering problems such as power system protection is also studied and the results are discussed in detail. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|