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A novel Hybrid Multi-objective Evolutionary Algorithm for the bi-Objective Minimum Diameter-Cost Spanning Tree (bi-MDCST) problem

  • Published:2020-01 Issue: Volume:87 Page:103237
  • ISSN:0952-1976
  • Container-title:Engineering Applications of Artificial Intelligence
  • language:en
  • Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Prakash V. Prem,Patvardhan C.,Srivastav Anand

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference44 articles.

1. Computing a diameter-constrained minimum spanning tree in parallel;Abdalla,2000

2. Real-parameter quantum evolutionary algorithm for economic load dispatch;Babu;IET Gener. Transm. Distrib.,2008

3. OR-library: Distributing test problems by electronic mail;Beasley;J. Oper. Res. Soc.,1990

4. A preliminary comparison of tree encoding schemes for evolutionary algorithms;Carrano,2007

5. New multi-objective stochastic search technique for economic load dispatch;Das,1998

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