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Showing 1-20 of 3,331 results
  1. Variable Neighborhood Search with Dynamic Exploration for the Set Union Knapsack Problem

    In the set-union knapsack problem (SUKP), we are given a set of elements, each with a positive weight, and a set of items, each with a positive...
    Igor Machado Coelho, Saïd Hanafi, ... Bernard Gendron in Combinatorial Optimization and Applications
    Chapter 2024
  2. Large neighborhood search for an aeronautical assembly line time-constrained scheduling problem with multiple modes and a resource leveling objective

    This paper deals with a scheduling problem arising at the tactical decision level in aeronautical assembly line. It has the structure of a...

    Tamara Borreguero Sanchidrián, Tom Portoleau, ... Pierre Lopez in Annals of Operations Research
    Article 17 October 2023
  3. A variable neighborhood search for the budget-constrained maximal covering location problem with customer preference ordering

    This paper introduces a variant of Maximal Covering Location Problem (MCLP) with customer preference ordering and limited budget for establishing...

    Lazar Mrkela, Zorica Stanimirović in Operational Research
    Article 21 June 2021
  4. A novel variable neighborhood strategy adaptive search for SALBP-2 problem with a limit on the number of machine’s types

    This paper presents the novel method variable neighbourhood strategy adaptive search (VaNSAS) for solving the special case of assembly line balancing...

    Rapeepan Pitakaso, Kanchana Sethanan, ... Paulina Golinska-Dawson in Annals of Operations Research
    Article 08 March 2021
  5. A large neighborhood search approach for the paint shop scheduling problem

    Minimizing the setup costs caused by color changes is one of the main concerns for paint shop scheduling in the automotive industry. Yet, finding an...

    Felix Winter, Nysret Musliu in Journal of Scheduling
    Article Open access 02 December 2021
  6. Data dissemination protocol for VANETs to optimize the routing path using hybrid particle swarm optimization with sequential variable neighbourhood search

    A vehicular Ad-Hoc Network (VANET) is a form of Mobile Ad-Hoc Network (MANET) which employs wireless routers that are inside every vehicle to operate...

    S. Harihara Gopalan, J. Ashok, ... S. Ramalingam in Telecommunication Systems
    Article 26 July 2023
  7. Local Search

    Improvement methods constitute the backbone of most metaheuristics. These methods repeatedly perform slight, local modifications on a current...
    Chapter Open access 2023
  8. Very Large-Scale Neighborhood Search

    Very Large-Scale Neighborhood Search is not an algorithm or a class of algorithms, but rather a conceptual framework which can be used for solving...
    Vittorio Maniezzo, Marco Antonio Boschetti, Thomas Stützle in Matheuristics
    Chapter 2021
  9. Virtual Machine Placement with Disk Anti-colocation Constraints Using Variable Neighborhood Search Heuristic

    In a cloud computing environment, virtual machine placement (VMP) represents an important challenge to select the most suitable set of physical...

    Ameni Hbaieb, Mahdi Khemakhem, Maher Ben Jemaa in Information Systems Frontiers
    Article 19 June 2020
  10. Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem

    Given the increasing severity of ecological issues, sustainable development and green manufacturing have emerged as crucial areas of research and...

    Wenqiang Zhang, Huili Geng, ... Miaolei Deng in Journal of Intelligent Manufacturing
    Article 25 October 2023
  11. Local Search Learning

    If local research constitutes the backbone of metaheuristics, tabu search, looking to learn how to iteratively modify a solution can be considered...
    Chapter Open access 2023
  12. Applications to Random Search Methods with Joint Normal Search Variates

    As an application of the previous description of a general method to accelerate random search algorithms, in the following we consider search...
    Chapter 2024
  13. Metaheuristics and Local Search

    Combinatorial optimization, which includes sports scheduling problems as one of its areas of application, consists in finding optimal solutions to...
    Celso C. Ribeiro, Sebastián Urrutia, Dominique de Werra in Combinatorial Models for Scheduling Sports Tournaments
    Chapter 2023
  14. Evolutionary neighborhood discovery algorithm for agricultural routing planning in multiple fields

    In recent years, operations research in agriculture has improved the harvested yield, reduced the cost and time required for field operations, and...

    Amalia Utamima, Torsten Reiners, Amir H. Ansaripoor in Annals of Operations Research
    Article Open access 02 May 2022
  15. A General Mathematical Framework for Constrained Mixed-variable Blackbox Optimization Problems with Meta and Categorical Variables

    A mathematical framework for modelling constrained mixed-variable optimization problems is presented in a blackbox optimization context. The...

    Charles Audet, Edward Hallé-Hannan, Sébastien Le Digabel in Operations Research Forum
    Article 23 February 2023
  16. Multi-neighborhood simulated annealing for the sports timetabling competition ITC2021

    We describe the solver that we developed for the Sports Timetabling Competition ITC2021, a three-stage simulated annealing approach, that makes use...

    Roberto Maria Rosati, Matteo Petris, ... Andrea Schaerf in Journal of Scheduling
    Article Open access 28 June 2022
  17. Local search approaches for the test laboratory scheduling problem with variable task grou**

    The Test Laboratory Scheduling Problem (TLSP) is a real-world scheduling problem that extends the well-known Resource-Constrained Project Scheduling...

    Florian Mischek, Nysret Musliu, Andrea Schaerf in Journal of Scheduling
    Article Open access 13 September 2021
  18. Simulated maximum likelihood estimation of the sequential search model

    We propose a new approach to simulate the likelihood of the sequential search model. By allowing search costs to be heterogeneous across consumers...

    Jae Hyen Chung, Pradeep Chintagunta, Sanjog Misra in Quantitative Marketing and Economics
    Article Open access 29 May 2024
  19. A large neighborhood search-based matheuristic for the load-dependent electric vehicle routing problem with time windows

    Range anxiety of electric vehicles (EVs) still poses a major barrier in their adoption in the logistics operations despite the advancements in the...

    Sina Rastani, Bülent Çatay in Annals of Operations Research
    Article 08 November 2021
  20. Variable neighborhood search algorithms for the permutation flowshop scheduling problem with the preventive maintenance

    This paper addresses to the permutation flowshop scheduling problem while considering the preventive maintenance in the non-resumable case. The...

    Wahiba Jomaa, Mansour Eddaly, Bassem Jarboui in Operational Research
    Article 08 July 2019
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