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GPEM
2011
12 years 12 months ago
Expert-driven genetic algorithms for simulating evaluation functions
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an appropr...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
13 years 11 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
13 years 10 months ago
Multi-niche crowding in the development of parallel genetic simulated annealing
In this paper, a new hybrid of genetic algorithm (GA) and simulated annealing (SA), referred to as GSA, is presented. In this algorithm, SA is incorporated into GA to escape from ...
Zhi-Gang Wang, Mustafizur Rahman 0002, Yoke-San Wo...
AI
1998
Springer
13 years 4 months ago
GAS, A Concept on Modeling Species in Genetic Algorithms
This paper introduces a niching technique called GAS (S stands for species) which dynamically creates a subpopulation structure (taxonomic chart) using a radius function instead of...
Márk Jelasity, József Dombi
ISDA
2010
IEEE
13 years 2 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,...