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» Hybrid Optimizations: Which Optimization Algorithm to Use
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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 4 months ago
A multi-objective genetic algorithm for robust design optimization
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Mian Li, Shapour Azarm, Vikrant Aute
COR
2008
111views more  COR 2008»
13 years 11 months ago
An optimization algorithm for the inventory routing problem with continuous moves
The typical inventory routing problem deals with the repeated distribution of a single product from a single facility with an unlimited supply to a set of customers that can all b...
Martin W. P. Savelsbergh, Jin-Hwa Song
APPROX
2010
Springer
188views Algorithms» more  APPROX 2010»
14 years 9 days ago
Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
Evdokia Nikolova
CEC
2010
IEEE
13 years 12 months ago
Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails
Abstract-- Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic re...
Hui Li, Dario Landa Silva, Xavier Gandibleux
CSL
2008
Springer
14 years 16 days ago
An Optimal Strategy Improvement Algorithm for Solving Parity and Payoff Games
This paper presents a novel strategy improvement algorithm for parity and payoff games, which is guaranteed to select, in each improvement step, an optimal combination of local str...
Sven Schewe