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» Evolutionary multiobjective optimization
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156
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GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
15 years 6 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
15 years 8 months 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 5 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 3 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
140
Voted
ICCS
2004
Springer
15 years 7 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