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CLOUDCOM
2010
Springer
13 years 5 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
CEC
2005
IEEE
14 years 1 months ago
FPGA segmented channel routing using genetic algorithms
A genetic algorithm approach for segmented channel routing in field programmable gate arrays (FPGA's) is presented in this paper. The FPGA segmented channel routing problem (F...
Lipo Wang, Lei Zhou, Wen Liu
GECCO
2004
Springer
14 years 1 months ago
Inducing Sequentiality Using Grammatical Genetic Codes
Abstract. This paper studies the inducement of sequentiality in genetic algorithms (GAs) for uniformly-scaled problems. Sequentiality is a phenomenon in which sub-solutions converg...
Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David ...
ISDA
2010
IEEE
13 years 5 months ago
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...
GECCO
2003
Springer
201views Optimization» more  GECCO 2003»
14 years 26 days ago
Solving Mastermind Using Genetic Algorithms
The MasterMind game involves decoding a secret code. The classic game is a code of six possible colors in four slots. The game has been analyzed and optimal strategies have been po...
Tom Kalisker, Doug Camens