Auto-tuning strategy for evolutionary algorithms: balancing between exploration and exploitation-Reference-Cited by-同舟云学术

Auto-tuning strategy for evolutionary algorithms: balancing between exploration and exploitation

Published:2008-05-30 Issue:2 Volume:13 Page:157-168
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Lin Lin,Gen Mitsuo

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-008-0303-2.pdf

Reference47 articles.

1. Altiparmak F, Gen M, Dengiz B, Smith AE (2004) A network-based genetic algorithm for design of communication networks. J Soc Plant Eng Jpn 15(4): 184–190

2. Ahn CW, Ramakrishna R (2002) A genetic algorithm for shortest path routing problem and the sizing of populations. IEEE Trans Evol Comput 6(6): 566–579

3. Beasley JE, Christofides N (1989) An algorithm for the resource constrained shortest path problem. Networks 19: 379–394

4. Bonabeau E, Dorigo M, Theraulaz G (1999) Swarm intelligence: from natural to artificial systems. Oxford University Press, New York

5. Chatterjee A, Siarry P (2006) Nonlinear inertia variation for dynamic adaptation in particle swarm optimization. Comput Oper Res 33(3): 859–871

Cited by 154 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. An optimized feature selection approach using sand Cat Swarm optimization for hyperspectral image classification;Infrared Physics & Technology;2024-09

2. Multi-objective optimisation framework for Blue-Green Infrastructure placement using detailed flood model;Journal of Hydrology;2024-07

3. A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models;Environmental Science and Pollution Research;2024-04-29

4. Diversity enforced Genetic Algorithm (GA) for Binary Decision Diagram (BDD) reordering;Applied Soft Computing;2024-04

5. A Decentralized Optimization Algorithm for Multi-Agent Job Shop Scheduling with Private Information;Mathematics;2024-03-25