Guided moth-flame optimiser for multi-objective optimization problems
DOI10.1007/s10479-019-03407-8zbMath1467.90070OpenAlexW2980608643WikidataQ127016939 ScholiaQ127016939MaRDI QIDQ828882
Djaafar Zouache, Fouad Ben Abdelaziz, Mira Lefkir, Nour El-Houda Chalabi
Publication date: 5 May 2021
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-019-03407-8
multi-objective optimizationswarm intelligenceepsilon dominance relationmoth-flame optimiserPareto solutions set
Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (2)
Uses Software
Cites Work
- Multiple objective branch and bound for mixed 0-1 linear programming: corrections and improvements for the biobjective case
- Hypervolume-based multiobjective optimization: theoretical foundations and practical implications
- A two phase method for multi-objective integer programming and its application to the assignment problem with three objectives
- Survey of multi-objective optimization methods for engineering
- A two-phase algorithm for the biobjective integer minimum cost flow problem
- A cooperative swarm intelligence algorithm for multi-objective discrete optimization with application to the Knapsack problem
- Generating well-distributed sets of Pareto points for engineering design using physical programming
- Two phase algorithms for the bi-objective assignment problem
- Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
- Genetic local search for multi-objective combinatorial optimization
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Guided moth-flame optimiser for multi-objective optimization problems
