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GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
14 years 10 months ago
The micro-genetic operator in the search of global trends
This work studies the mGA operator (Micro Genetic Algorithm), that has been proposed in literature as a “local search” operator for optimization with Genetic Algorithm. A new ...
Flávio V. C. Martins, Eduardo G. Carrano, E...
84
Voted
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
14 years 10 months ago
Adaptive discretization on multidimensional continuous search spaces
This paper extends an adaptive discretization method, Spliton-Demand (SoD), to be capable of handling multidimensional continuous search spaces. The proposed extension is called m...
Jiun-Jiue Liou, Ying-Ping Chen
PPSN
1998
Springer
15 years 1 months ago
Restart Scheduling for Genetic Algorithms
Abstract. In order to escape from local optima, it is standard practice to periodically restart a genetic algorithm according to some restart criteria/policy. This paper addresses ...
Alex S. Fukunaga
HIPC
2007
Springer
15 years 3 months ago
Multi-objective Peer-to-Peer Neighbor-Selection Strategy Using Genetic Algorithm
Peer-to-peer (P2P) topology has significant influence on the performance, search efficiency and functionality, and scalability of the application. In this paper, we present a Gen...
Ajith Abraham, Benxian Yue, Chenjing Xian, Hongbo ...
102
Voted
PPSN
1994
Springer
15 years 1 months ago
Convergence Models of Genetic Algorithm Selection Schemes
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
Dirk Thierens, David E. Goldberg