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GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
15 years 3 months ago
A Statistical Model of GA Dynamics for the OneMax Problem
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
Bulent Buyukbozkirli, Erik D. Goodman

Presentation
956views
13 years 3 months ago
A Method for Distributed Computaion of Semi-Optimal Multicast Tree in MANET
In this paper, we propose a new method to construct a semi-optimal QoS-aware multicast tree on MANET using distributed computation of the tree based on Genetic Algorithm (GA). This...
IDA
2008
Springer
14 years 10 months ago
A comprehensive analysis of hyper-heuristics
Meta-heuristics such as simulated annealing, genetic algorithms and tabu search have been successfully applied to many difficult optimization problems for which no satisfactory pro...
Ender Özcan, Burak Bilgin, Emin Erkan Korkmaz
CEC
2005
IEEE
15 years 3 months ago
A model-based evolutionary algorithm for bi-objective optimization
Abstract- The Pareto optimal solutions to a multiobjective optimization problem often distribute very regularly in both the decision space and the objective space. Most existing ev...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K....
EVOW
2001
Springer
15 years 2 months ago
An Evolutionary Annealing Approach to Graph Coloring
This paper presents a new heuristic algorithm for the graph coloring problem based on a combination of genetic algorithms and simulated annealing. Our algorithm exploits a novel cr...
Dimitris Fotakis, Spiridon D. Likothanassis, Stama...