This paper introduces Tabu Search in analytical chemistry by applying it to wavelength selection. Tabu Search is a deterministic global optimization technique loosely based on concepts from artificial intelligence. Wavelength selection is a method which can be used for improving the quality of calibration models. Tabu Search uses basic, problem-specific operators to explore a search space, and ...

Facility location decisions play a prominent role in strategic planning of many firms, companies and governmental organizations. Since in many real-world facility location problems, the data are subject to uncertainty, in this paper, we consider the P-center problem under uncertainty of demands. Using Bertsimas and Sim approach, we develop a robust model of the problem as an integer programming...

We present several heuristic algorithms based on tabu search for solving the multi-stage sequence-dependent group scheduling (SDGS) problem by considering minimization of makespan as the criterion. As the problem is recognized to be strongly NP-hard, several meta (tabu) search-based solution algorithms are developed to efficiently solve industry-size problem instances. Also, two different initi...

Tabu Search is a simple combinatorial optimization strategy that has been applied with great success in applications ranging from graph coloring to scheduling and space planning. This paper describes the application of the Tabu Searchh1] heuristic to the circuit partitioning problem. Results obtained indicate that in most cases Tabu Search yields netlist partitions with 10% fewer cut nets than ...

In this work, we propose a cooperative multi-thread parallel tabu search heuristic for the circuit partitioning problem. This procedure is based on the cooperation of multiple search threads. Each thread implements a diierent variant of a sequential tabu search algorithm, using a diierent combination of initial solution algorithm and move attribute deenition. These threads communicate by exchan...

The quadratic assignment problem (QAP) is one of the NP-hard combinatorial optimization problems. An exponential chaotic tabu search using a 2-opt algorithm driven by chaotic neuro-dynamics has been proposed as one heuristic method for solving QAPs. In this paper we first propose a new local search, the double-assignment method, suitable for the exponential chaotic tabu search, which adopts fea...

We investigate the beneet of Tabu Search for satissability (SAT) and constraint satisfaction problems (CSP) and compare it to the more frequently used random walk heuristic. We argue, that a more deterministic direction of search as done with Tabu Search is worth considering also for SAT and CSP. We give experimental evidence that Tabu Search can be used to eeciently guide local search procedur...

A feasible exam timetable is generated using a method based on constraint satisfaction and heuristics. We investigate the usage of tabu search to further improve the quality of the exam timetable. Different length of short term tabu list and the long term tabu list is examined. Short term tabu list without long term tabu list and vice versa is also tested. Different search iteration based on ma...

This article reviews ten of the most important tabu search heuristics for the vehicle routing problem. Some of the main tabu search features are first described: neighbourhood structures, short term memory, long term memory, intensification. The tabu search algorithms are then described, followed by computational results and the conclusion.

In this paper we present a classi cation of parallel tabu search metaheuristics based, on the one hand, on the control and communication strategies used in the design of the parallel tabu search procedures and, on the other hand, on how the search space is partitionned. These criteria are then used to review the parallel tabu search implementations described in the literature. The taxonomy is f...