Hybrid evolutionary algorithms for the Multiobjective Traveling Salesman Problem-Reference-Cited by-同舟云学术

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Hybrid evolutionary algorithms for the Multiobjective Traveling Salesman Problem

Published:2015-12 Issue:22 Volume:42 Page:8956-8970
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Psychas Iraklis-Dimitrios,Delimpasi Eleni,Marinakis Yannis

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference66 articles.

1. A memetic pareto evolutionary approach to artificial neural networks;Abbass,2001

2. The self-adaptive pareto differential evolution algorithm;Abbass,2002

3. The pareto differential evolution algorithm;Abbass;International Journal on Artifficial Intelligence Tools,2002

4. PDE: a pareto-frontier differential evolution approach for multi-objective optimization problems;Abbass,2001

5. Evolutionary multiobjective optimization: theoretical advances and applications;Abraham,2005

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1. Enhancing the Dhouib-Matrix-4 metaheuristic to generate the Pareto non-dominated set solutions for multi-objective travelling salesman problem: The DM4-PMO method;Results in Control and Optimization;2024-03

2. A comprehensive survey on the generalized traveling salesman problem;European Journal of Operational Research;2023-07

3. A hybrid combined algorithm based on intelligent water drops and electromagnetism-like algorithms for fuzzy TSP1;Journal of Intelligent & Fuzzy Systems;2023-01-05

4. Multi-objective optimization for multi-depot heterogeneous first-mile transportation system considering requests’ preference ranks for pick-up stops;Transportmetrica A: Transport Science;2022-07-27

5. Artificial Electric Field Algorithm with Greedy State Transition Strategy for Spherical Multiple Traveling Salesmen Problem;International Journal of Computational Intelligence Systems;2022-01-03

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