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» A parallel search algorithm for CLNS addition optimization
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TACAS
2010
Springer
251views Algorithms» more  TACAS 2010»
15 years 6 months ago
Approximating the Pareto Front of Multi-criteria Optimization Problems
We propose a general methodology for approximating the Pareto front of multi-criteria optimization problems. Our search-based methodology consists of submitting queries to a constr...
Julien Legriel, Colas Le Guernic, Scott Cotton, Od...
WEA
2004
Springer
120views Algorithms» more  WEA 2004»
15 years 6 months ago
An Improved Time-Sensitive Metaheuristic Framework for Combinatorial Optimization
We introduce a metaheuristic framework for combinatorial optimization. Our framework is similar to others (e.g. [1]) in that it is modular enough that important components can be i...
Vinhthuy T. Phan, Steven Skiena
104
Voted
PPSN
2004
Springer
15 years 6 months ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
15 years 1 months ago
Voronoi-initializated island models for solving real-coded deceptive problems
Deceptive problems have always been considered difficult for Genetic Algorithms. To cope with this characteristic, the literature has proposed the use of Parallel Genetic Algorith...
Santiago Muelas, José Manuel Peña, V...
CEC
2011
IEEE
14 years 24 days ago
Effective ranking + speciation = Many-objective optimization
—Multiobjective optimization problems have been widely addressed using evolutionary computation techniques. However, when dealing with more than three conflicting objectives (th...
Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos...