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LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 6 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
HM
2007
Springer
135views Optimization» more  HM 2007»
15 years 6 months ago
Hybrid Local Search Techniques for the Resource-Constrained Project Scheduling Problem
This paper proposes a local search algorithm that makes use of a complex neighborhood relation based on a hybridization with a constructive heuristics for the classical resource-co...
Igor Pesek, Andrea Schaerf, Janez Zerovnik
COR
2006
80views more  COR 2006»
14 years 11 months ago
Multiple crossdocks with inventory and time windows
Crossdocking studies have mostly been concerned with the physical layout of a crossdock or on a single crossdock. In this work, we study a network of crossdocks taking into consid...
Ping Chen, Yunsong Guo, Andrew Lim, Brian Rodrigue...
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 5 months ago
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
Ashish Sureka, Peter R. Wurman
EURODAC
1994
IEEE
140views VHDL» more  EURODAC 1994»
15 years 3 months ago
GSA: scheduling and allocation using genetic algorithm
This paper describes a unique approach to scheduling and allocation problem in high-level synthesis using genetic algorithm (GA). This approach is dierent from a previous attempt ...
Ali Shahid, Muhammad S. T. Benten, Sadiq M. Sait