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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 4 months ago
A comparative study of evolutionary optimization techniques in dynamic environments
Genetic Algorithms have widely been used for solving optimization problems in stationary environments. In recent years, there has been a growing interest for investigating and imp...
Demet Ayvaz, Haluk Topcuoglu, Fikret S. Gürge...
130
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EVOW
2004
Springer
15 years 5 months ago
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept
Abstract. Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for comparing the performance of various dynamic opt...
Yaochu Jin, Bernhard Sendhoff
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 4 months ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
CIG
2005
IEEE
15 years 6 months ago
Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem
Abstract- In this paper, we apply an Evolutionary Algorithm (EA) to solve the Rubinstein’s Basic AlternatingOffer Bargaining Problem, and compare our experimental results with it...
Nanlin Jin, Edward P. K. Tsang
ATAL
2008
Springer
15 years 2 months ago
Continual collaborative planning for mixed-initiative action and interaction
Multiagent environments are often highly dynamic and only partially observable which makes deliberative action planning computationally hard. In many such environments, however, a...
Michael Brenner