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GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
14 years 23 days ago
Multicriteria Network Design Using Evolutionary Algorithm
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
Rajeev Kumar, Nilanjan Banerjee
CEC
2009
IEEE
14 years 8 days ago
Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems
Abstract—A number of population based optimization algorithms have been proposed in recent years to solve unconstrained and constrained single and multi-objective optimization pr...
Hemant K. Singh, Amitay Isaacs, Trung Thanh Nguyen...
CP
2001
Springer
14 years 1 days ago
Solving Non-binary CSPs Using the Hidden Variable Encoding
Non-binary constraint satisfaction problems (CSPs) can be solved in two different ways. We can either translate the problem into an equivalent binary one and solve it using well-e...
Nikos Mamoulis, Kostas Stergiou
CEC
2009
IEEE
14 years 2 months ago
The multiobjective evolutionary algorithm based on determined weight and sub-regional search
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
Hai-lin Liu, Xueqiang Li
COR
2007
134views more  COR 2007»
13 years 7 months ago
Portfolio selection using neural networks
In this paper we apply a heuristic method based on artificial neural networks (NN) in order to trace out the efficient frontier associated to the portfolio selection problem. We...
Alberto Fernández, Sergio Gómez