Sciweavers

Share
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
9 years 6 months ago
Evolutionary Design of Behaviors for Action-Based Environment Modeling by a Mobile Robot
This paper describes an evolutionary way to acquire behaviors of a mobile robot for recognizing environments. We have proposed AEM (Action-based Environment Modeling) approach for...
Seiji Yamada
GECCO
2000
Springer
145views Optimization» more  GECCO 2000»
9 years 6 months ago
Enhancing the GA's Ability to Cope with Dynamic Environments
: The Shifting Balance Genetic Algorithm (SBGA) is a pluggable module for a GA (or any other Evolutionary Algorithm) based on a modification of Sewall Wright's shifting balanc...
Mark Wineberg, Franz Oppacher
GECCO
2000
Springer
133views Optimization» more  GECCO 2000»
9 years 6 months ago
Hybrid Differential Evolution for Dynamic Optimization of a Fedbatch Bioreactor Process
A hybrid method of evolutionary algorithms is introduced in this study. The hybrid method includes two additional operations, acceleration and migrating operations. These two oper...
Feng-Sheng Wang
GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
9 years 6 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
GECCO
2000
Springer
150views Optimization» more  GECCO 2000»
9 years 6 months ago
A Hybrid Genetic Algorithm for the Quadratic Assignment Problem
A heuristic technique that combines a genetic algorithm with a Tabu Search algorithm is applied to the Quadratic Assignment Problem (QAP). The hybrid algorithm improves the result...
Manuel Vázquez, L. Darrell Whitley
GECCO
2000
Springer
9 years 6 months ago
Sampling Bias and Search Space Boundary Extension in Real Coded Genetic Algorithms
In Real coded genetic algorithms, some crossover operators do not work well on functions which have their optimum at the corner of the search space. To cope with this problem, we ...
Shigeyoshi Tsutsui
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
9 years 6 months ago
Using Genetic Algorithms with Asexual Transposition
Traditional Genetic Algorithms (GA) use crossover and mutation as the main genetic operators to achieve population diversity. Previous work using a biologically inspired genetic o...
Anabela Simões, Ernesto Costa
GECCO
2000
Springer
140views Optimization» more  GECCO 2000»
9 years 6 months ago
Genetic Algorithms for Component Analysis
Adelino R. Ferreira da Silva
GECCO
2000
Springer
100views Optimization» more  GECCO 2000»
9 years 6 months ago
Probabilistic Evolution and the Busy Beaver Problem
Roberto Santana, Alberto Ochoa-Rodríguez, M...
books