ED-LS – A heuristic local search for the multiobjective Firefighter Problem-Reference-Cited by-同舟云学术

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ED-LS – A heuristic local search for the multiobjective Firefighter Problem

Published:2017-10 Issue: Volume:59 Page:389-404
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Michalak Krzysztof

Funder

Wroclaw Centre for Networking and Supercomputing

Publisher

Elsevier BV

Subject

Software

Reference80 articles.

1. Local Search in Combinatorial Optimization;Aarts,2003

2. D2MOPSO: Multi-objective particle swarm optimizer based on decomposition and dominance;Al Moubayed,2012

3. Guided Pareto local search based frameworks for biobjective optimization;Alsheddy,2010

4. Advances in ordered greed;Anderson,2004

5. Design of cooperative algorithms for multi-objective optimization: application to the flow-shop scheduling problem;Basseur;4OR,2006

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1. Iterated local search for the placement of wildland fire suppression resources;European Journal of Operational Research;2023-02

2. Decision Support Models and Methodologies for Fire Suppression;Fire;2023-01-17

4. A Local Search Approach for Batch Repair With Configuration Neighbor and Sub-Degree in Circuit System;IEEE Access;2020

5. Solving the parameterless firefighter problem using multiobjective evolutionary algorithms;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2019-07-13

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