A Large-Scale Experimental Evaluation of High-Performing Multi- and Many-Objective Evolutionary Algorithms
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Large-Scale Experimental Evaluation of High-Performing Multi- and Many-Objective Evolutionary Algorithms
Authors
Keywords
-
Journal
EVOLUTIONARY COMPUTATION
Volume -, Issue -, Pages 1-36
Publisher
MIT Press - Journals
Online
2017-11-21
DOI
10.1162/evco_a_00217
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios
- (2017) Ryoji Tanabe et al. IEEE Access
- Automatic Component-Wise Design of Multiobjective Evolutionary Algorithms
- (2016) Leonardo C. T. Bezerra et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Many-Objective Evolutionary Algorithms
- (2015) Bingdong Li et al. ACM COMPUTING SURVEYS
- Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results
- (2015) Günter Rudolph et al. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
- Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems
- (2015) Hisao Ishibuchi et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization
- (2014) Siwei Jiang et al. IEEE Transactions on Cybernetics
- A unified ant colony optimization algorithm for continuous optimization
- (2013) Tianjun Liao et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
- (2013) Kalyanmoy Deb et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- The Automatic Design of Multiobjective Ant Colony Optimization Algorithms
- (2012) Manuel Lopez-Ibanez et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Diagnostic Assessment of Search Controls and Failure Modes in Many-Objective Evolutionary Optimization
- (2011) David Hadka et al. EVOLUTIONARY COMPUTATION
- Computing Gap Free Pareto Front Approximations with Stochastic Search Algorithms
- (2010) Oliver Schütze et al. EVOLUTIONARY COMPUTATION
- HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
- (2010) Johannes Bader et al. EVOLUTIONARY COMPUTATION
- On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem
- (2010) Oliver Schutze et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- On the Complexity of Computing the Hypervolume Indicator
- (2009) N. Beume et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
- (2008) Hui Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Convergence of stochastic search algorithms to finite size pareto set approximations
- (2008) Oliver Schütze et al. JOURNAL OF GLOBAL OPTIMIZATION
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started