Sciweavers

CEC
2005
IEEE
14 years 3 months ago
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems
Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes. This pa...
Shengxiang Yang
CEC
2005
IEEE
14 years 3 months ago
Genetic algorithms with self-organized criticality for dynamic optimization problems
This paper proposes a genetic algorithm (GA) with random immigrants for dynamic optimization problems where the worst individual and its neighbours are replaced every generation. I...
Renato Tinós, Shengxiang Yang
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 3 months ago
Experimental analysis of binary differential evolution in dynamic environments
Many real-world optimization problems are dynamic in nature. The interest in the Evolutionary Algorithms (EAs) community in applying EA variants to dynamic optimization problems h...
Alp Emre Kanlikilicer, Ali Keles, Sima Uyar
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
14 years 3 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
GECCO
2007
Springer
241views Optimization» more  GECCO 2007»
14 years 3 months ago
Binary ant algorithm
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. Over these kind of ov...
Carlos Fernandes, Agostinho C. Rosa, Vitorino Ramo...
EVOW
2007
Springer
14 years 3 months ago
Triggered Memory-Based Swarm Optimization in Dynamic Environments
In recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are t...
Hongfeng Wang, Dingwei Wang, Shengxiang Yang
CEC
2008
IEEE
14 years 3 months ago
A multi-agent based evolutionary algorithm in non-stationary environments
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
CEC
2009
IEEE
14 years 4 months ago
The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems
— Many real-world problems are dynamic, requiring an optimization algorithm which is able to continuously track a changing optimum over time. In this paper, we present a stigmerg...
Peter Korosec, Jurij Silc
EVOW
2009
Springer
14 years 4 months ago
Dynamic Time-Linkage Problems Revisited
Dynamic time-linkage problems (DTPs) are common types of dynamic optimization problems where "decisions that are made now ... may in‡uence the maximum score that can be obta...
Trung Thanh Nguyen, Xin Yao