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» Evolutionary multiobjective optimization
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GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
15 years 7 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
98
Voted
ECAI
2006
Springer
15 years 5 months ago
Multi-Objective Propagation in Constraint Programming
Bounding constraints are used to bound the tolerance of solutions under certain undesirable features. Standard solvers propagate them one by one. Often times, it is easy to satisfy...
Emma Rollon, Javier Larrosa
98
Voted
EOR
2006
78views more  EOR 2006»
15 years 1 months ago
A multi-objective resource allocation problem in PERT networks
We develop a multi-objective model for resource allocation problem in PERT networks with exponentially or Erlang distributed activity durations, where the mean duration of each ac...
Amir Azaron, Hideki Katagiri, Masatoshi Sakawa, Ko...
120
Voted
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 8 months ago
A hybrid evolutionary programming algorithm for spread spectrum radar polyphase codes design
This paper presents a hybrid evolutionary programming algorithm to solve the spread spectrum radar polyphase code design problem. The proposed algorithm uses an Evolutionary Progr...
Ángel M. Pérez-Bellido, Sancho Salce...
EPS
1995
Springer
15 years 5 months ago
A Survey of Constraint Handling Techniques in Evolutionary Computation Methods
One of the major components of any evolutionary system is the evaluation function. Evaluation functions are used to assign a quality measure for individuals in a population. Where...
Zbigniew Michalewicz