On the optimal control of steel annealing processes via various versions of genetic and particle swarm optimization algorithms

Optimization and Engineering

Volumn 12, Issue 3, 2011, Pages 371-392

  Arumugam, M Senthil ^a   Chandramohan, Aarthi ^a   Murthy, Gajula Ramana ^b  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b MULTIMEDIA UNIVERSITY   (Malaysia)

Author keywords

Hybrid systems; Optimal control; Particle swarm optimization (PSO); Real coded genetic algorithm (RCGA); Steel annealing processes (SAP)

Indexed keywords

ANALYSIS OF VARIANCE (ANOVA); ANNEALING; ECONOMIC AND SOCIAL EFFECTS; GENETIC ALGORITHMS; HYBRID SYSTEMS; OPTIMAL CONTROL SYSTEMS; PROCESS CONTROL;

ANNEALING PROCESS; METALLURGICAL QUALITY; OPTIMAL CONTROL PROBLEM; OPTIMAL CONTROLS; OPTIMIZATION ALGORITHMS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PLANT-WIDE PLANNING AND SCHEDULING; REAL CODED GENETIC ALGORITHM;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 79960264239     PISSN: 13894420     EISSN: 15732924     Source Type: Journal    
DOI: 10.1007/s11081-011-9143-5     Document Type: Article

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