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GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
14 years 5 months ago
Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks
Abstract. Genetic algorithms have been a standard technique for engineers optimising water distribution networks for some time. However in recent years there has been an increasing...
Ed Keedwell, Soon-Thiam Khu
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 5 months ago
Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function
Maximin strategy has its origin in game theory, but it can be adopted for effective multiobjective optimization. This paper proposes a particle swarm multiobjective optimiser, max...
Xiaodong Li
GECCO
2004
Springer
158views Optimization» more  GECCO 2004»
14 years 5 months ago
Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems. In th...
Xiaodong Li
GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
14 years 5 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
14 years 5 months ago
A Cooperative Coevolutionary Multiobjective Algorithm Using Non-dominated Sorting
The following paper describes a cooperative coevolutionary algorithm which incorporates a novel collaboration formation mechanism. It encourages rewarding of components participati...
Antony W. Iorio, Xiaodong Li
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
14 years 5 months ago
Learning to Acquire Autonomous Behavior: Cooperation by Humanoid Robots
In this paper, we describe a cooperative transportation to a target position with two humanoid robots and introduce a machine learning approach to solving the problem. The difficul...
Yutaka Inoue, Takahiro Tohge, Hitoshi Iba
GECCO
2004
Springer
156views Optimization» more  GECCO 2004»
14 years 5 months ago
Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation
We combine interactive evolutionary computation (IEC) with existing evolutionary synthesis software for the design of micromachined resonators and evaluate its effectiveness using...
Raffi R. Kamalian, Hideyuki Takagi, Alice M. Agogi...
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
14 years 5 months ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
14 years 5 months ago
Is the Predicted ESS in the Sequential Assessment Game Evolvable?
The Sequential Assessment Game model of animal contests predicts an evolutionarily stable strategy (ESS) that is a sequence of thresholds for giving up. Simulated evolution experim...
Winfried Just, Xiaolu Sun