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» Dynamic populations in genetic algorithms
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TEC
2002
161views more  TEC 2002»
15 years 4 days ago
A fast and elitist multiobjective genetic algorithm: NSGA-II
Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have been criticized mainly for their: 1) ( 3) computational complexity (where is the number ...
Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Mey...
94
Voted
CEC
2007
IEEE
15 years 4 months ago
A memetic algorithm for dynamic design of wireless sensor Networks
We present a memetic algorithm that dynamically optimizes the design of a wireless sensor network towards energy conservation and extension of the life span of the network, taking ...
Konstantinos P. Ferentinos, Theodore A. Tsiligirid...
107
Voted
GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
15 years 4 months ago
A Comparison of Genetic Algorithms for the Dynamic Job Shop Scheduling Problem
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...
Manuel Vázquez, L. Darrell Whitley
91
Voted
EOR
2007
133views more  EOR 2007»
15 years 13 days ago
Using genetic algorithm for dynamic and multiple criteria web-site optimizations
In today’s competitive electronic marketplace, companies try to create long-lasting relations with their online customers. Log files and registration forms generate millions of...
Arben Asllani, Alireza Lari
112
Voted
AAAI
2000
15 years 1 months ago
Dynamic Representations and Escaping Local Optima: Improving Genetic Algorithms and Local Search
Local search algorithms often get trapped in local optima. Algorithms such as tabu search and simulated annealing 'escape' local optima by accepting nonimproving moves. ...
Laura Barbulescu, Jean-Paul Watson, L. Darrell Whi...