On the benchmarking of multiobjective optimization algorithm

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2773 PART 1, Issue , 2003, Pages 379-385

  Köppen, Mario ^a  

^a FRAUNHOFER INSTITUTE FOR PRODUCTION SYSTEMS AND DESIGN TECHNOLOGY IPK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DECISION MAKING; FUNCTIONS; OPTIMIZATION; PARETO PRINCIPLE; SET THEORY; ALGORITHMS; COST FUNCTIONS; KNOWLEDGE BASED SYSTEMS;

COST FUNCTION; FUNCTION-DEPENDENT ALGORITHM; MULTI-OBJECTIVE OPTIMIZATION; ALGORITHM PERFORMANCE; EXTREMA POINTS; MULTI OBJECTIVE ALGORITHM; NO FREE LUNCH; PERFORMANCE MEASURE; PRIORI KNOWLEDGE; SINGLE OBJECTIVE;

ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION;

EID: 8344271259     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45224-9_53     Document Type: Conference Paper

References (3)

1. Carlos A. Coello Coello, David A. Van Veldhuizen, Gary B. Lamont. Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, 2002.
2. Mario Köppen, David H. Wolpert and William G. Macready, "Remarks on a recent paper on the "no free lunch" theorems," IEEE Transactions on Evolutionary Computation, vol. 5, no. 3, pp. 295-296, 2001.
3. David H. Wolpert and William G. Macready, "No free lunch theorems for optimization," IEEE Transactions on Evolutionary Computation, vol. 1, no. 1, pp. 67-82, 1997.