Fuzzy enabled hybrid genetic algorithm-particle swarm optimization approach to solve TCRO problems in construction project planning

Journal of Construction Engineering and Management

Volumn 138, Issue 9, 2012, Pages 1065-1074

  Ashuri, Baabak ^a   Tavakolan, Mehdi ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b Columbia Univ ^*  (United States)

Author keywords

Construction costs; Fuzzy sets; Ootimization; Resource allocation; Scheduling

Indexed keywords

CONSTRUCTION COSTS; CONSTRUCTION PROJECTS; HYBRID APPROACH; HYBRID GA-PSO; HYBRID GENETIC; INPUT DATAS; OOTIMIZATION; OPTIMAL RESOURCE ALLOCATION; OPTIMIZATION ALGORITHMS; OPTIMIZATION PROBLEMS; PROCESSING TIME; PROJECT COST; PROJECT DURATION; PROJECT PLANNERS; PROJECT SCHEDULES; RESOURCE LEVELING; SWARM OPTIMIZATION; TOTAL VARIATION; TRADE-OFF ANALYSIS;

ALGORITHMS; COST BENEFIT ANALYSIS; COSTS; FUZZY SET THEORY; FUZZY SETS; PARTICLE SWARM OPTIMIZATION (PSO); RESOURCE ALLOCATION; SCHEDULING;

PROBLEM SOLVING;

EID: 84873627201     PISSN: 07339364     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)CO.1943-7862.0000513     Document Type: Article

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