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AEI
2005
99views more  AEI 2005»
13 years 10 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
14 years 3 months ago
Dynamic optimization of migration topology in internet-based distributed genetic algorithms
Distributed Genetic Algorithms (DGAs) designed for the Internet have to take its high communication cost into consideration. For island model GAs, the migration topology has a maj...
Johan Berntsson, Maolin Tang
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
14 years 1 months ago
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts
Our paper concerns optimal combinations of different types of reinsurance contracts. We introduce a novel approach based on the Mean-Variance-Criterion to solve this task. Two sta...
Ingo Oesterreicher, Andreas Mitschele, Frank Schlo...
ARVLSI
1995
IEEE
179views VLSI» more  ARVLSI 1995»
14 years 1 months ago
Algorithms for the optimal state assignment of asynchronous state machines
This paper presents a method for the optimal state assignment of asynchronous state machines. Unlike state assignment for synchronous state machines, state codes must be chosen ca...
Robert M. Fuhrer, Bill Lin, Steven M. Nowick
EOR
2007
133views more  EOR 2007»
13 years 10 months 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