Results 1 to 10 of about 3,752,335 (283)
Formulation space search approach for the teacher/class timetabling problem [PDF]
We consider the well known NP-hard teacher/class timetabling problem. Variable neighborhood search and tabu search heuristics are developed based on idea of the Formulation Space Search approach.
Kochetov Yuri +2 more
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Heuristics for NP-hard optimization problems - simpler is better!?
We provide several examples showing that local search, the most basic metaheuristics, may be a very competitive choice for solving computationally hard optimization problems. In addition, generation of starting solutions by greedy heuristics should be at
Žerovnik Janez
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Which Local Search Operator Works Best for the Open-Loop TSP?
The traveling salesman problem (TSP) has been widely studied for the classical closed-loop variant. However, very little attention has been paid to the open-loop variant.
Lahari Sengupta +2 more
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An improved local search algorithm for 3-SAT [PDF]
We slightly improve the pruning technique presented in Dantsin et. al.
Brueggemann, T., Kern, W.
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Optimal network topologies for local search with congestion [PDF]
The problem of searchability in decentralized complex networks is of great importance in computer science, economy and sociology. We present a formalism that is able to cope simultaneously with the problem of search and the congestion effects that arise ...
A. Arenas +15 more
core +4 more sources
An analysis of Harmony Search for solving Sudoku puzzles
The Harmony Search metaheuristic has been used to solve many different optimization problems. Several papers examined its effectiveness for solving Sudoku puzzles.
Rachel H. Chae, Amelia C. Regan
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A greedy randomized adaptive search procedure (GRASP) is an itera- tive multistart metaheuristic for difficult combinatorial optimization problems. Each GRASP iteration consists of two phases: a construction phase, in which a feasible solution is ...
De Santis, M. +4 more
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An Improved Shuffled Frog-Leaping Algorithm for Flexible Job Shop Scheduling Problem
The flexible job shop scheduling problem is a well-known combinatorial optimization problem. This paper proposes an improved shuffled frog-leaping algorithm to solve the flexible job shop scheduling problem. The algorithm possesses an adjustment sequence
Kong Lu +5 more
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NILS: a Neutrality-based Iterated Local Search and its application to Flowshop Scheduling [PDF]
This paper presents a new methodology that exploits specific characteristics from the fitness landscape. In particular, we are interested in the property of neutrality, that deals with the fact that the same fitness value is assigned to numerous ...
Dhaenens, Clarisse +4 more
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This paper presents an effective stochastic algorithm that embeds a large neighborhood decomposition technique into a variable neighborhood search for solving the permutation flow-shop scheduling problem. The algorithm first constructs a permutation as a
Mehrdad Amirghasemi
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