Doerner KF, Gutjahr WJ, Hartl RF, Strauss C, Stummer C. Pareto Ant Colony Optimization: A metaheuristic approach to multiobjective portfolio selection. Annals of Operations Research. 2004;131(1-4):79-99
In this paper we develop a computational procedure in order to find the efficient frontier, i.e. a n...
Multiobjective optimization problems are problems with several, typically conflicting, criteria for ...
Characterizing the preferences of a decision maker in a multicriteria decision is a complex task tha...
Doerner KF, Gutjahr WJ, Hartl RF, Strauss C, Stummer C. Ant Colony Optimization in multiobjective po...
Doerner KF, Gutjahr WJ, Hartl RF, Strauss C, Stummer C. Pareto ant colony optimization with ILP prep...
In this work, a new approach to selection in multiobjective evolutionary algorithms (MOEAs) is propo...
Abstract — Efficient portfolio design is a principal challenge in modern computational finance. Opti...
Online ISBN 978-90-481-2311-7In this chapter we experimentally investigate several evolutionary mult...
Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the common...
A well renowned problem in the world of finance is optimization of investment portfolios. An investo...
There have been several proposals on how to apply the ant colony optimization (ACO) metaheuristic to...
Multiobjective Ant Colony Optimization (MO-ACO) metaheuris-tics have shown to be very successful in ...
International audienceAn Ant Colony Optimization Meta-Heuristic for Subset Selection Problem
. Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the comm...
Dans cette thèse, nous nous intéressons à l'étude des capacités de la méta heuristique d'optimisatio...
In this paper we develop a computational procedure in order to find the efficient frontier, i.e. a n...
Multiobjective optimization problems are problems with several, typically conflicting, criteria for ...
Characterizing the preferences of a decision maker in a multicriteria decision is a complex task tha...
Doerner KF, Gutjahr WJ, Hartl RF, Strauss C, Stummer C. Ant Colony Optimization in multiobjective po...
Doerner KF, Gutjahr WJ, Hartl RF, Strauss C, Stummer C. Pareto ant colony optimization with ILP prep...
In this work, a new approach to selection in multiobjective evolutionary algorithms (MOEAs) is propo...
Abstract — Efficient portfolio design is a principal challenge in modern computational finance. Opti...
Online ISBN 978-90-481-2311-7In this chapter we experimentally investigate several evolutionary mult...
Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the common...
A well renowned problem in the world of finance is optimization of investment portfolios. An investo...
There have been several proposals on how to apply the ant colony optimization (ACO) metaheuristic to...
Multiobjective Ant Colony Optimization (MO-ACO) metaheuris-tics have shown to be very successful in ...
International audienceAn Ant Colony Optimization Meta-Heuristic for Subset Selection Problem
. Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the comm...
Dans cette thèse, nous nous intéressons à l'étude des capacités de la méta heuristique d'optimisatio...
In this paper we develop a computational procedure in order to find the efficient frontier, i.e. a n...
Multiobjective optimization problems are problems with several, typically conflicting, criteria for ...
Characterizing the preferences of a decision maker in a multicriteria decision is a complex task tha...
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