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GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
15 years 3 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...
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
15 years 3 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
108
Voted
PPSN
1998
Springer
15 years 6 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
122
Voted
HIPC
2007
Springer
15 years 8 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 ...
141
Voted
PPSN
1994
Springer
15 years 6 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