A novel combination of Particle Swarm Optimization and Genetic Algorithm for Pareto optimal design of a five-degree of freedom vehicle vibration model

Applied Soft Computing Journal

Volumn 13, Issue 5, 2013, Pages 2577-2591

  Mahmoodabadi, M J ^a   Adljooy Safaie, A ^b   Bagheri, A ^c   Nariman Zadeh, N ^c,d  

^a SIRJAN UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c UNIVERSITY OF GUILAN   (Iran)

^d UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Genetic Algorithm; Hybrid algorithms; Multi objective problems; Particle Swarm Optimization; Single objective problems; Vehicle vibration model

Indexed keywords

BENCHMARKING; DEGREES OF FREEDOM (MECHANICS); EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; HYBRID VEHICLES; ITERATIVE METHODS; MULTIOBJECTIVE OPTIMIZATION; OPTIMAL SYSTEMS; OPTIMIZATION; PARETO PRINCIPLE; VEHICLES; VIBRATION ANALYSIS; VIBRATIONS (MECHANICAL);

BENCH-MARK PROBLEMS; HYBRID ALGORITHMS; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; MULTI-OBJECTIVE PROBLEM; OPTIMIZATION ALGORITHMS; PARETO-OPTIMAL DESIGN; SINGLE OBJECTIVE; VEHICLE VIBRATIONS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84885644139     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.11.028     Document Type: Article

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