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Choosing the right algorithm with hints from complexity theory

Published:2024-01 Issue: Volume:296 Page:105125
ISSN:0890-5401
Container-title:Information and Computation
language:en
Short-container-title:Information and Computation

Author:

Wang Shouda,Zheng Weijie^ORCID,Doerr Benjamin

Publisher

Elsevier BV

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,Theoretical Computer Science

Reference113 articles.

1. Choosing the right algorithm with hints from complexity theory;Wang,2021

2. Metaheuristics – the metaphor exposed;Sörensen;Int. Trans. Oper. Res.,2015

3. Bioinspired Computation in Combinatorial Optimization – Algorithms and Their Computational Complexity;Neumann,2010

4. Theory of Randomized Search Heuristics,2011

5. Analyzing Evolutionary Algorithms – The Computer Science Perspective;Jansen,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How to Use the Metropolis Algorithm for Multi-Objective Optimization?;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

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