Using response surface design to determine the optimal parameters of genetic algorithm and a case study

International Journal of Production Research

Volumn 51, Issue 17, 2013, Pages 5039-5054

  Kucukkoc, Ibrahim ^a,b   Karaoglan, Aslan Deniz ^b   Yaman, Ramazan ^b  

^a UNIVERSITY OF EXETER   (United Kingdom)

^b BALIKESIR UNIVERSITY   (Turkey)

Author keywords

Assembly line balancing; Design of experiment; Genetic algorithm (GA); Parameter optimisation; Response surface methodology (RSM)

Indexed keywords

ASSEMBLY LINE BALANCING; COMPLEX SEARCH SPACES; GENETIC ALGORITHM (GAS); MIXED-MODEL ASSEMBLY LINES; PARAMETER OPTIMISATION; RESPONSE SURFACE DESIGNS; RESPONSE SURFACE METHODOLOGY; STOCHASTIC SEARCH TECHNIQUES;

ASSEMBLY; COMPUTATIONAL COMPLEXITY; DESIGN OF EXPERIMENTS; OPTIMIZATION; SURFACE PROPERTIES;

GENETIC ALGORITHMS;

EID: 84884910125     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2013.784411     Document Type: Article

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