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GECCO
1999
Springer
13 years 8 months ago
Use of Preferences for GA-based Multi-objective Optimisation
In this paper we present a method based on preference relations for transforming non–crisp (qualitative) relationships between objectives in multi–objective optimisation into ...
Dragan Cvetkovic, Ian C. Parmee
GECCO
1999
Springer
116views Optimization» more  GECCO 1999»
13 years 8 months ago
Dynamic Degree Constrained Network Design: A Genetic Algorithm Approach
The design and development of network infrastructure to support mission-critical operations has become a critical and complicated issue. In this study we explore the use of geneti...
Chao-Hsien Chu, G. Premkumar, Carey Chou, Jianzhon...
GECCO
1999
Springer
126views Optimization» more  GECCO 1999»
13 years 8 months ago
Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling)
Crossover operators that preserve common components can also preserve representation level constraints. Consequently, these constraints can be used to beneficially reduce the sea...
Stephen Y. Chen, Stephen F. Smith
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 8 months ago
Non-Standard Crossover for a Standard Representation - Commonality-Based Feature Subset Selection
The Commonality-Based Crossover Framework has been presented as a general model for designing problem specific operators. Following this model, the Common Features/Random Sample ...
Stephen Y. Chen, Cesar Guerra-Salcedo, Stephen F. ...
GECCO
1999
Springer
116views Optimization» more  GECCO 1999»
13 years 8 months ago
Topologies, Migration Rates, and Multi-Population Parallel Genetic Algorithms
This paper presents a study of parallel genetic algorithms (GAs) with multiple populations (also called demes or islands). The study makes explicit the relation between the probab...
Erick Cantú-Paz
GECCO
1999
Springer
13 years 8 months ago
Extremal Optimization: Methods derived from Co-Evolution
Stefan Boettcher, Allon G. Percus
GECCO
1999
Springer
105views Optimization» more  GECCO 1999»
13 years 8 months ago
Linkage Information Processing In Distribution Estimation Algorithms
The last few years there has been an increasing amount of interest in the eld of distribution estimation optimization algorithms. As more techniques are introduced, the variety in...
Peter A. N. Bosman, Dirk Thierens
GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
13 years 8 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
GECCO
1999
Springer
111views Optimization» more  GECCO 1999»
13 years 8 months ago
On using ZCS in a Simulated Continuous Double-Auction Market
This paper presents results from on-going investigations into the performance of the Michiganstyle classifier system in a complex multi-agent environment. Using a simplified model...
Larry Bull
GECCO
1999
Springer
115views Optimization» more  GECCO 1999»
13 years 8 months ago
A Diversity Study in Genetic Algorithms for Job Shop Scheduling Problems
This paper deals with the study of population diversity in Genetic Algorithms for Job Shop Scheduling Problems. A definition of population diversity at the phenotype level and a ...
Carlos A. Brizuela, Nobuo Sannomiya