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» On the Brittleness of Evolutionary Algorithms
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ICTAI
2007
IEEE
16 years 22 days ago
Ant Colony Optimization for Multi-Objective Optimization Problems
We propose in this paper a generic algorithm based on Ant Colony Optimization to solve multi-objective optimization problems. The proposed algorithm is parameterized by the number...
Inès Alaya, Christine Solnon, Khaled Gh&eac...
ISDA
2009
IEEE
16 years 1 months ago
Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search
Recent studies [13, 18] have shown that clearing schemes are efficient multi-modal optimization methods. They efficiently reduce genetic drift which is the direct reason for prema...
Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
16 years 1 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
CEC
2007
IEEE
16 years 23 days ago
Non-separable fitness functions for evolutionary shape optimization benchmarking
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
Tim A. Yates, Thorsten Schnier
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
16 years 17 days ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar