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» Heavy-Tailed Distributions in Combinatorial Search
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GECCO
2007
Springer
196views Optimization» more  GECCO 2007»
14 years 2 months ago
An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem
An Estimation of Distribution Algorithm (EDA) is proposed to approach the Hybrid Flow Shop with Sequence Dependent Setup Times and Uniform Machines in parallel (HFSSDST-UM) proble...
Abdellah Salhi, José Antonio Vázquez...
ATAL
2009
Springer
14 years 3 months ago
Adaptive price update in distributed Lagrangian relaxation protocol
Distributed Lagrangian Relaxation Protocol (DisLRP) has been proposed to solve a distributed combinatorial maximization problem called the Generalized Mutual Assignment Problem (G...
Katsutoshi Hirayama, Toshihiro Matsui, Makoto Yoko...
ICDCS
2003
IEEE
14 years 1 months ago
Software Fault Tolerance of Distributed Programs Using Computation Slicing
Writing correct distributed programs is hard. In spite of extensive testing and debugging, software faults persist even in commercial grade software. Many distributed systems, esp...
Neeraj Mittal, Vijay K. Garg
IPPS
2010
IEEE
13 years 6 months ago
Large neighborhood local search optimization on graphics processing units
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
PPSN
2010
Springer
13 years 7 months ago
First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes
Abstract. This paper extends a recently proposed model for combinatorial landscapes: Local Optima Networks (LON), to incorporate a first-improvement (greedyascent) hill-climbing a...
Gabriela Ochoa, Sébastien Vérel, Mar...