Title :
Toward a parallel genetic algorithm approach based on collective intelligence for combinatorial optimization problems
Author :
Hidrobo, F. ; Aguilar, J.
Author_Institution :
Fac. de Ciencias, Los Andes Univ., Merida, Venezuela
Abstract :
This paper addresses collective intelligence routes used in artificial life. Preliminary results are used to optimize the performance of genetic algorithms. Due to interested in the behaviour oriented artificial intelligence, specific attention is placed on the biological phenomena that reveals something about collective intelligence. Then, we propose a parallel reinforced search algorithm for the GA that use a collective memory of the better structural changes in the individuals through the generations, in order to use that information like trace of search
Keywords :
combinatorial mathematics; cooperative systems; genetic algorithms; parallel algorithms; artificial life; collective intelligence; collective memory; combinatorial optimization problems; parallel genetic algorithm approach; parallel reinforced search algorithm; structural changes; Artificial intelligence; Centralized control; Communication system control; Control systems; Design methodology; Evolution (biology); Genetic algorithms; Intelligent agent; Optimization methods; Proposals;
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.700140
