Hybrid simulated annealing and genetic algorithms for industrial production management problems

International Journal of Computational Methods

Volumn 7, Issue 2, 2010, Pages 279-297

  Vasant, Pandian ^a,b  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

^b Power Control Optimization   (Malaysia)

Author keywords

Genetic algorithms; Level of satisfaction; Nonliner objective function; Optimal profit; Simulated annealing; Uncertain technical coefficient

Indexed keywords

COMPLEX OPTIMIZATION; COMPUTATIONAL EXPERIMENT; DECISION VARIABLES; FEASIBLE SOLUTION; HYBRID METHOD; INDUSTRIAL PRODUCTION; LEVEL OF SATISFACTION; META-HEURISTIC APPROACH; NONLINEAR OBJECTIVE FUNCTIONS; NONLINER OBJECTIVE FUNCTION; NOVEL GENETIC ALGORITHM; OBJECTIVE FUNCTIONS; OPTIMAL PROFIT; OPTIMIZATION PROBLEMS; SIMULATED EXPERIMENTS; TECHNICAL TOOLS;

ANNEALING; DECISION MAKING; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; INDUSTRIAL MANAGEMENT; INDUSTRY; PROFITABILITY;

SIMULATED ANNEALING;

EID: 77953189139     PISSN: 02198762     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219876210002209     Document Type: Article

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