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GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 8 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock
164
Voted
SPDP
1991
IEEE
15 years 8 months ago
Asynchronous parallel search by the parallel genetic algorithm
The parallel genetic algorithm (PGA) is a prototype of a new kind of a distributed algorithm. It is based on a parallel search by individuals all of which have the complete proble...
Heinz Mühlenbein
143
Voted
WSCG
2003
223views more  WSCG 2003»
15 years 6 months ago
Optimizing Parameters of a Motion Detection System by Means of a Genetic Algorithm
Visual surveillance and monitoring have aroused interest in the computer video community for many years. The main task of these applications is to identify (and track) moving targ...
Alessandro Bevilacqua
127
Voted
GECCO
2008
Springer
159views Optimization» more  GECCO 2008»
15 years 5 months ago
IGAP: interactive genetic algorithm peer to peer
We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Throu...
Juan C. Quiroz, Amit Banerjee, Sushil J. Louis
SMC
2010
IEEE
158views Control Systems» more  SMC 2010»
15 years 2 months ago
A study of genetic algorithms for approximating the longest path in generic graphs
Abstract--Finding the longest simple path in a generic undirected graph is a challenging issue that belongs to the NPComplete class of problems. Four approaches based on genetic al...
David Portugal, Carlos Henggeler Antunes, Rui Roch...