Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Tabu Search
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
The probabilistic heuristic in local (PHIL) search meta-strategy
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
An enhanced timetabling procedure for the no-wait job shop problem: a complete local search approach
Computers and Operations Research
A proposal for a hybrid meta-strategy for combinatorial optimization problems
Journal of Heuristics
A cooperative and self-adaptive metaheuristic for the facility location problem
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
An enhanced timetabling procedure for the no-wait job shop problem: a complete local search approach
Computers and Operations Research
Expert Systems with Applications: An International Journal
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Neighborhood search heuristics like local search and its variants are some of the most popular approaches to solve discrete optimization problems of moderate to large size. Apart from tabu search, most of these heuristics are memoryless. In this paper we introduce a new neighborhood search heuristic that makes effective use of memory structures in a way that is different from that in common implementations of tabu search. We report computational experiments with this heuristic on the traveling salesperson problem and the subset sum problem.