A variable neighborhood MOEA/D for multiobjective test task scheduling problem

DOI10.1155/2014/423621zbMath1407.90166OpenAlexW2036297960WikidataQ59067035 ScholiaQ59067035MaRDI QIDQ1718350

Lijuan Yin, Zheng Zhu, Hui Lu, Xiaoteng Wang

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/423621

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items

Chaotic multiobjective evolutionary algorithm based on decomposition for test task scheduling problem

Uses Software

• MOEA/D

Cites Work

• Unnamed Item
• Unnamed Item
• MOEA/D + uniform design: a new version of MOEA/D for optimization problems with many objectives
• An improved genetic algorithm for the distributed and flexible job-shop scheduling problem
• Nonlinear multiobjective optimization
• A genetic algorithm with tabu search procedure for flexible job shop scheduling with transportation constraints and bounded processing times
• Modified bottleneck-based heuristic for large-scale job-shop scheduling problems with a single bottleneck
• Job shop scheduling problem based on DNA computing
• Comparison between MOEA/D and NSGA-II on the Multi-Objective Travelling Salesman Problem