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CHINAF
2011
8 years 6 months ago
Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate
One approach for evolutionary algorithms (EAs) to address dynamic optimization problems (DOPs) is to maintain diversity of the population via introducing immigrants. So far all imm...
Xin Yu, Ke Tang, Xin Yao
TSMC
2010
8 years 9 months ago
Particle Swarm Optimization With Composite Particles in Dynamic Environments
In recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments. This paper presents a new PSO model, called PSO with c...
Lili Liu, Shengxiang Yang, Dingwei Wang
CCE
2004
9 years 2 months ago
An MPEC formulation for dynamic optimization of distillation operations
We consider the dynamic optimization of chemical processes with changes in the number of equilibrium phases. Recent work has shown that transitions in the number of phases can be ...
Arvind U. Raghunathan, M. Soledad Diaz, Lorenz T. ...
TEC
2008
165views more  TEC 2008»
9 years 2 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
9 years 3 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
CEC
2005
IEEE
9 years 4 months ago
DynDE: a differential evolution for dynamic optimization problems
Abstract- This paper presents an approach of using Differential Evolution (DE) to solve dynamic optimization problems. Careful setting of parameters is necessary for DE algorithms ...
Rui Mendes, Arvind S. Mohais
EMO
2006
Springer
113views Optimization» more  EMO 2006»
9 years 6 months ago
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization
Abstract. Optimization in changing environment is a challenging task, especially when multiple objectives are to be optimized simultaneously. The basic idea to address dynamic opti...
Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sen...
GECCO
2003
Springer
9 years 7 months ago
Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environments
Evolutionary algorithms applied to dynamic optimization problems has become a promising research area. So far, all papers in the area have assumed that the environment changes only...
Jürgen Branke, Wei Wang
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
9 years 8 months ago
Learning, anticipation and time-deception in evolutionary online dynamic optimization
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
Peter A. N. Bosman
EVOW
2005
Springer
9 years 8 months ago
Scatter Search Particle Filter to Solve the Dynamic Travelling Salesman Problem
This paper presents the Scatter Search Particle Filter (SSPF) algorithm and its application to the Dynamic Travelling Salesman Problem (DTSP). SSPF combines sequential estimation a...
Juan José Pantrigo, Abraham Duarte, Á...
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