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This paper describes a novel refinement to a Tabu search algorithm that has been implemented in an attempt to improve the robustness of the search when applied to particularly complex problems. In this approach, two Tabu searches are…

Artificial Intelligence · Computer Science 2014-10-30 A. M. Connor

This paper describes two optimisation methods which can be applied to the parameter selection stage of Fluid Power System design. These two methods used are a Genetic Algorithm (GA) and a Tabu Search method, both of which have been claimed…

Optimization and Control · Mathematics 2016-05-13 Andy M. Connor , Derek G. Tilley

This paper presents a novel approach to the optimisation of structures using a Tabu search (TS) method. TS is a metaheuristic which is used to guide local search methods towards a globally optimal solution by using flexible memory cycles of…

Computational Engineering, Finance, and Science · Computer Science 2014-10-30 Andy M. Connor , Keith A. Seffen , Geoffrey T. Parks , P. John Clarkson

This paper describes an optimisation methodology that has been specifically developed for engineering design problems. The methodology is based on a Tabu search (TS) algorithm that has been shown to find high quality solutions with a…

Optimization and Control · Mathematics 2016-06-21 Andy M. Connor , P. John Clarkson , Shahrokh Shahpar , Paul Leonard

Tabu Search (TS) metaheuristic improves simple local search algorithms (e.g. steepest ascend hill-climbing) by enabling the algorithm to escape local optima points. It has shown to be useful for addressing several combinatorial optimization…

Artificial Intelligence · Computer Science 2020-06-05 Alexandr Grichshenko , Luiz Jonata Pires de Araujo , Susanna Gimaeva , Joseph Alexander Brown

This paper presents a brief description of the Tabu Search method and shows how it can be applied to two different power transmission systems. Examples are presented from two transmission systems. In the first example a mechanical…

Optimization and Control · Mathematics 2016-05-13 Andy M. Connor , Derek G. Tilley

Tabu search is one of the most effective heuristics for locating high-quality solutions to a diverse array of NP-hard combinatorial optimization problems. Despite the widespread success of tabu search, researchers have a poor understanding…

Artificial Intelligence · Computer Science 2011-09-13 A. E. Howe , J. P. Watson , L. D. Whitley

Floor space optimization is a critical revenue management problem commonly encountered by retailers. It maximizes store revenue by optimally allocating floor space to product categories which are assigned to their most appropriate…

Artificial Intelligence · Computer Science 2021-05-21 Jiefeng Xu , Evren Gul , Alvin Lim

Local search metaheuristics like tabu search or simulated annealing are popular heuristic optimization algorithms for finding near-optimal solutions for combinatorial optimization problems. However, it is still challenging for researchers…

Neural and Evolutionary Computing · Computer Science 2024-07-30 Rubén Ruiz-Torrubiano

The dynamic slope scaling procedure is an approximation method successfully which solves the fixed charge network flow (FCNF) problem by iteratively linearizing the fixed cost. The parameterized dynamic slope scaling procedure adds an…

Optimization and Control · Mathematics 2018-08-31 Weili Zhang , Charles D. Nicholson

Optimal power flow (OPF) is a key tool for planning and operations in energy grids. The line-flow constraints, generator loading effect, piece-wise cost functions, emission, and voltage quality cost make the optimization model non-convex…

Optimization and Control · Mathematics 2019-09-20 Alireza Barzegar , Ali Sadollah , Rong Su

The search heuristics Tabu search and Simulated annealing are commonly used meta-heuristics. The two heuristics have different ways of ensuring diversification. The heuristics can be implemented for solving the stowage planning problem. The…

Optimization and Control · Mathematics 2023-01-12 Eghbal Hosseini

In the paper, a parallel Tabu Search algorithm for the Resource Constrained Project Scheduling Problem is proposed. To deal with this NP-hard combinatorial problem many optimizations have been performed. For example, a resource evaluation…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-15 Libor Bukata , Premysl Sucha , Zdenek Hanzalek

In this paper we introduce the Tabu Enhanced Hybrid Quantum Optimization metaheuristic approach useful for optimization problem solving on a quantum hardware. We address the theoretical convergence of the proposed scheme from the viewpoint…

Simulating quantum circuits using classical computers lets us analyse the inner workings of quantum algorithms. The most complete type of simulation, strong simulation, is believed to be generally inefficient. Nevertheless, several…

Quantum Physics · Physics 2013-02-25 T. H. Johnson , J. D. Biamonte , S. R. Clark , D. Jaksch

Computing workflows in heterogeneous multiprocessor systems are frequently modeled as directed acyclic graphs of tasks and data blocks, which represent computational modules and their dependencies in the form of data produced by a task and…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-14 Junwen Ding , Liangcai Song , Siyuan Li , Chen Wu , Ronghua He , Zhouxing Su , Zhipeng Lü

The paper deals with the makespan minimization in the hybrid flow shop scheduling problem with multiprocessor tasks. The hybrid flow shop (HFS) generalizes the classical flow shop processor configuration by replacing each processor…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-16 Adam Janiak , Damian Kowalczyk , Maciej Lichtenstein

Tactical wireless networks play a vital role in ensuring reliable connectivity in scenarios where conventional telecommunications infrastructure is unavailable or damaged, such as areas impacted by natural disasters. These networks are…

Networking and Internet Architecture · Computer Science 2026-04-30 Wissem Ahmed Zaid , Alain Hertz

This paper presents an investigation of two search techniques, tabu search (TS) and simulated annealing (SA), to assess their relative merits when applied to engineering design optimisation. Design optimisation problems are generally…

Neural and Evolutionary Computing · Computer Science 2016-05-20 Andy M. Connor , Kristina Shea

Many optimization techniques evaluate solutions consecutively, where the next candidate for evaluation is determined by the results of previous evaluations. For example, these include iterative methods, "black box" optimization algorithms,…

Artificial Intelligence · Computer Science 2018-09-03 Oleg V. Shylo , Hesam Shams
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