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» A stochastic beam search for the berth allocation problem
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DSS
2007
122views more  DSS 2007»
13 years 4 months ago
A stochastic beam search for the berth allocation problem
Abstract. In this paper, the optimization of the Berth Allocation Problem (BAP) is transformed into a multiple stage decision making procedure and a new stochastic beam search algo...
Fan Wang, Andrew Lim
ASIAN
1999
Springer
186views Algorithms» more  ASIAN 1999»
13 years 9 months ago
Ant Colony Optimization for the Ship Berthing Problem
Abstract. Ant Colony Optimization (ACO) is a paradigm that employs a set of cooperating agents to solve functions or obtain good solutions for combinatorial optimization problems. ...
Chia Jim Tong, Hoong Chuin Lau, Andrew Lim
CSCLP
2004
Springer
13 years 10 months ago
Characterization of a New Restart Strategy for Randomized Backtrack Search
We propose an improved restart strategy for randomized backtrack search, and evaluate its performance by comparing to other heuristic and stochastic search techniques for solving r...
Venkata Praveen Guddeti, Berthe Y. Choueiry
LION
2009
Springer
210views Optimization» more  LION 2009»
13 years 11 months ago
Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows
Beam-ACO algorithms are hybrid methods that combine the metaheuristic ant colony optimization with beam search. They heavily rely on accurate and computationally inexpensive boundi...
Manuel López-Ibáñez, Christia...
AAAI
2000
13 years 6 months ago
Solving Combinatorial Auctions Using Stochastic Local Search
Combinatorial auctions (CAs) have emerged as an important model in economics and show promise as a useful tool for tackling resource allocation in AI. Unfortunately, winner determ...
Holger H. Hoos, Craig Boutilier