A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems

Journal of Scheduling

Volumn 11, Issue 6, 2008, Pages 405-419

  Datta, Dilip ^a   Fonseca, Carlos M ^b   Deb, Kalyanmoy ^c  

^a NATIONAL INSTITUTE OF TECHNOLOGY SILCHAR   (India)

^b UNIVERSIDADE DO ALGARVE   (Portugal)

^c INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

Class timetabling; Evolutionary algorithm; Land use management; Multi objective optimization; Resource allocation problems

Indexed keywords

APPROXIMATE SOLUTIONS; CLASS TIMETABLING; EXACT METHODS; HEURISTIC TECHNIQUES; IS PROBLEMS; LAND-USE MANAGEMENT; MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS; POLYNOMIAL TIMES; RESOURCE ALLOCATION PROBLEMS; SOLUTION TECHNIQUES;

ALGORITHMS; EVOLUTIONARY ALGORITHMS; HEURISTIC ALGORITHMS; HEURISTIC METHODS; LAND USE; MULTIOBJECTIVE OPTIMIZATION; NUCLEAR PROPULSION; PLANNING; POLYNOMIAL APPROXIMATION; RESOURCE ALLOCATION; SOLUTIONS;

PROBLEM SOLVING;

EID: 55849085727     PISSN: 10946136     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10951-008-0073-9     Document Type: Article

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