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GECCO
2003
Springer
111views Optimization» more  GECCO 2003»
13 years 10 months ago
Adaptation of Length in a Nonstationary Environment
In this paper, we examine the behavior of a variable length GA in a nonstationary problem environment. Results indicate that a variable length GA is better able to adapt to changes...
Han Yu, Annie S. Wu, Kuo-Chi Lin, Guy A. Schiavone
GECCO
2006
Springer
200views Optimization» more  GECCO 2006»
13 years 9 months ago
A new approach for shortest path routing problem by random key-based GA
In this paper, we propose a Genetic Algorithm (GA) approach using a new paths growth procedure by the random key-based encoding for solving Shortest Path Routing (SPR) problem. An...
Mitsuo Gen, Lin Lin
ICTAI
1996
IEEE
13 years 9 months ago
Applying a Mutation-based Genetic Algorithm to Processor Configuration Problems
The Processor Configuration Problem (PCP) is a Constraint Optimization Problem. The task is to link up a finite set of processors into a network, while minimizing the maximum dist...
T. L. Lau, Edward P. K. Tsang
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
13 years 10 months ago
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
Claus de Castro Aranha, Hitoshi Iba
GECCO
2004
Springer
13 years 11 months ago
Improving the Performance of a Genetic Algorithm Using a Variable-Reordering Algorithm
Genetic algorithms have been successfully applied to many difficult problems but there have been some disappointing results as well. In these cases the choice of the internal repre...
Eduardo Rodriguez-Tello, Jose Torres-Jimenez