Investigation of benchmark dataset for many-objective Multi-Skill Resource Constrained Project Scheduling Problem-Reference-Cited by-同舟云学术

Investigation of benchmark dataset for many-objective Multi-Skill Resource Constrained Project Scheduling Problem

Published:2022-09 Issue: Volume:127 Page:109253
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Myszkowski Paweł B.^ORCID,Laszczyk Maciej

Funder

Wroclaw University of Science and Technology

Publisher

Elsevier BV

Subject

Software

Reference27 articles.

1. Hybrid differential evolution and greedy algorithm (DEGR) for solving multi-skill resource-constrained project scheduling problem;Myszkowski;Appl. Soft Comput.,2018

2. Hybrid ant colony optimization in solving multi-skill resource-constrained project scheduling problem;Myszkowski;Soft Comput.,2015

3. iMOPSE: a library for bicriteria optimization in multi-skill resource-constrained project scheduling problem;Myszkowski;Soft Comput.,2019

4. Efficient selection operators in NSGA-II for solving bi-objective multi-skill resource-constrained project scheduling problem;Myszkowski;ACSIS,2017

5. Haitham Seada, Kalyanmoy Deb, U-NSGA-III: A Unified Evolutionary Algorithm for Single, Multiple, and Many-Objective Optimization, COIN report 2014022, 2014.

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