Multi-objective equivalent random search

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4193 LNCS, Issue , 2006, Pages 463-472

  Hughes, Evan J ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MONTE CARLO METHODS; PROBLEM SOLVING; RANDOM PROCESSES;

PARETO SET; RANDOM SEARCH;

SEARCH ENGINES;

EID: 33750243400     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11844297_47     Document Type: Conference Paper

References (7)

1. K. Deb. NSGA-II code in C. http://www.iitk.ac.in/kangal/codes/nsga2/ nsga2-v1.1tar.
2. K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. J. Merelo, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN VI, pages 849-858, Berlin, 2000. Springer.
3. E. J. Hughes. MOERS example software, http://code.evanhughes.org.
4. E. J. Hughes. Assessing robustness of optimisation performance for problems with expensive evaluation functions. In World Congress on Computational Intelligence, Vancouver, Canada, July 2006. IEEE, to appear.
5. J. Knowles and D. Corne. On metrics for comparing non-dominated sets. In Congress on Evolutionary Computation (CEC 2002), volume 1, pages 711-716, Hawaii, 2002.
6. T. Okabe, Y. Jin, and B. Sendhoff. A critical survey of performance indices for multi-objective optimization. In Congress on Evolutionary Computation (CEC'2003), volume 2, pages 878-885, Canberra, Australia, Dec. 2003.
7. E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. G. da Fonseca. Performance assessment of multiobjective optimizers: An analysis and review. In IEEE Transactions on Evolutionary Computation, volume 7, pages 117-132, April 2003.