Sciweavers

2096 search results - page 191 / 420
» Evolutionary multiobjective optimization
Sort
View
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
15 years 11 months ago
Biogeography-based optimization with blended migration for constrained optimization problems
Biogeography-based optimization (BBO) is a new evolutionary algorithm based on the science of biogeography. We propose two extensions to BBO. First, we propose blended migration. ...
Haiping Ma, Dan Simon
AE
2007
Springer
16 years 11 days ago
On the Design of Adaptive Control Strategies for Evolutionary Algorithms
This paper focuses on the design of control strategies for Evolutionary Algorithms. We propose a method to encapsulate multiple parameters, reducing control to only one criterion. ...
Jorge Maturana, Frédéric Saubion
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 9 months ago
Variable Length Genomes for Evolutionary Algorithms
A general variable length genome, called exG, is developed here to address the problems of fixed length representations in canonical evolutionary algorithms. Convergence aspects o...
C.-Y. Lee, E. K. Antonsson
GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
15 years 7 months ago
Crossover can provably be useful in evolutionary computation
We show that the natural evolutionary algorithm for the all-pairs shortest path problem is significantly faster with a crossover operator than without. This is the first theoret...
Benjamin Doerr, Edda Happ, Christian Klein
ICCS
2004
Springer
15 years 11 months ago
Data Driven Design Optimization Methodology Development and Application
The Data Driven Design Optimization Methodology (DDDOM) is a Dynamic Data Driven Application System (DDDAS) developed for engineering design optimization. The DDDOM synergizes expe...
H. Zhao, D. Knight, E. Taskinoglu, V. Jovanovic