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» Evolutionary algorithms and matroid optimization problems
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GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 2 months 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
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 20 days ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
CEC
2007
IEEE
14 years 2 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
STOC
2006
ACM
129views Algorithms» more  STOC 2006»
14 years 8 months ago
Optimal phylogenetic reconstruction
One of the major tasks of evolutionary biology is the reconstruction of phylogenetic trees from molecular data. The evolutionary model is given by a Markov chain on the true evolu...
Constantinos Daskalakis, Elchanan Mossel, Sé...
ACIIDS
2012
IEEE
331views Database» more  ACIIDS 2012»
12 years 3 months ago
Quad Countries Algorithm (QCA)
This paper introduces an improved evolutionary algorithm based on the Imperialist Competitive Algorithm (ICA), called Quad Countries Algorithm (QCA). The Imperialist Competitive Al...
M. A. Soltani-Sarvestani, Shahriar Lotfi, Fatemeh ...