Informing Multiobjective Optimization Benchmark Construction Through Instance Space Analysis
Author:
Affiliation:
1. OPTIMA and the School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia
Funder
Australian Research Council through the Australian Laureate Fellowship
ARC Training Centre in Optimisation Technologies, Integrated Methodologies and Applications
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Theoretical Computer Science,Software
Link
http://xplorestaging.ieee.org/ielx7/4235/9967387/09881541.pdf?arnumber=9881541
Reference62 articles.
1. Multiobjective Landscape Analysis and the Generalized Assignment Problem
2. On local optima in multiobjective combinatorial optimization problems
3. Fitness-Probability Cloud and a Measure of Problem Hardness for Evolutionary Algorithms
4. A Survey of Advances in Landscape Analysis for Optimisation
5. Exploratory landscape analysis of continuous space optimization problems using information content;muñoz;IEEE Trans Evol Comput,2015
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1. Instance space analysis for 2D bin packing mathematical models;European Journal of Operational Research;2023-12
2. Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software;IEEE Transactions on Evolutionary Computation;2022-12
3. An Instance Space Analysis of Constrained Multi-Objective Optimization Problems;IEEE Transactions on Evolutionary Computation;2022
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