Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures

Applied Soft Computing Journal

Volumn 11, Issue 1, 2011, Pages 489-499

  Omkar, S N ^a   Senthilnath, J ^a   Khandelwal, Rahul ^a   Narayana Naik, G ^a   Gopalakrishnan, S ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Artificial Bee Colony (ABC); Composite; Multi objective optimization; Structural optimization; Swarm intelligence; Vector Evaluated Artificial Bee Colony (VEABC)

Indexed keywords

ARTIFICIAL BEE COLONIES; ARTIFICIAL IMMUNE SYSTEM; BENDING LOAD; CLASSICAL LAMINATION THEORY; COMPARATIVE STUDIES; COMPOSITE; COMPOSITE COMPONENTS; DESIGN CONFIGURATIONS; DESIGN OPTIMIZATION; DISCRETE VARIABLES; FAILURE CRITERIA; FAILURE MECHANISM; LOADING CONFIGURATION; MAXIMUM STRESS; MULTI OBJECTIVE; MULTI-OBJECTIVE DESIGN OPTIMIZATION; MULTIPLE OBJECTIVES; NUMBER OF LAYERS; OPTIMIZATION METHOD; OPTIMIZATION VARIABLES; PARALLEL VECTORS; STACKING SCHEME; STACKING SEQUENCE; SWARM INTELLIGENCE; TOTAL COSTS; TSAI-WU; VECTOR EVALUATED; VECTOR EVALUATED ARTIFICIAL BEE COLONY (VEABC);

ARTIFICIAL INTELLIGENCE; CELLULAR AUTOMATA; GENETIC ALGORITHMS; LAMINATED COMPOSITES; LAMINATING; PARTICLE SWARM OPTIMIZATION (PSO); STRUCTURAL DESIGN; STRUCTURAL OPTIMIZATION; STRUCTURE (COMPOSITION); VECTORS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 77957930162     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.12.008     Document Type: Article

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