A study of a parallelized immune coevolutionary algorithm for division-of-labor problems

Artificial Life and Robotics

Volumn 9, Issue 2, 2005, Pages 76-80

  Toma, Naruaki ^a   Endo, Satoshi ^a   Yamada, Koji ^a  

^a UNIVERSITY OF THE RYUKYUS   (Japan)

Author keywords

Immune algorithm; n TSP; Optimization; Parallel distributed system

Indexed keywords

COMPUTER SIMULATION; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; OPTIMIZATION; TRAVELING SALESMAN PROBLEM;

IMMUNE ALGORITHM; PARALLEL DISTRIBUTED SYSTEM;

PARALLEL PROCESSING SYSTEMS;

EID: 19744369828     PISSN: 14335298     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10015-004-0328-2     Document Type: Article

References (5)

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2. Starkweather T, Whitley D, Mathimas K (1991) Optimization using distributed genetic algorithms. In: Schwefel H-P, Manner R (eds) Parallel problem solving from nature. Springer, p 176-183
3. Tanese R (1989) Distributed genetic algorithm. Proceedings of the 3rd International Conference on Genetic Algorithms, Morgan Kaufmann, San Francisco, p 434-439
4. Hinterding R, Gielewski H, Peachey TC (1995) The nature of mutation in genetic algorithms. In: Schwefel H-P, Manner R (eds) Parellel problem solving from nature. vol 496, Lecture Notes in Computer Science, Springer, p 23-32
5. Toma N, Endo S, Yamada K, et al. (2000) The immune distributed competitive problem solver using major histocompatibility complex and immune network. Operations research/management science at work. Kluwer International Series, p 129-147 (ISBN 0-7923-7588-2)