Keyword

hypervolume

Description: A measure of the volume of objective space dominated by candidate solutions, used to assess performance in multiobjective optimization.

Primary topic: Advanced Multi-Objective Optimization Algorithms (55%)

Wikidata ID: wiki/Q827230

OpenAlex ID: keywords/hypervolume

A faster algorithm for calculating hypervolume

2006 · L. While, P. Hingston, et al. · IEEE Transactions on Evolutionary Computation · 1,102

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A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

2014 · Xingyi Zhang, Ye Tian, et al. · IEEE Transactions on Evolutionary Computation · 868

Performance metrics in multi-objective optimization

2015 · Nery Riquelme, Christian Von Lucken, et al. · 500

Hypervolume concepts in niche‐ and trait‐based ecology

2017 · Benjamin Blonder · Ecography · 389

The Measure of Pareto Optima Applications to Multi-objective Metaheuristics

2003 · M. Fleischer · Lecture notes in computer science · 376

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Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization

2014 · Siwei Jiang, Yew-Soon Ong, et al. · IEEE Transactions on Cybernetics · 314

The Measure of Pareto Optima: Applications to Multiobjective Metaheuristics

2002 · Mark Fleischer · 307

MOCell: A cellular genetic algorithm for multiobjective optimization

2009 · Antonio J. Nebro, Juan J. Durillo, et al. · International Journal of Intelligent Systems · 270

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AbYSS: Adapting Scatter Search to Multiobjective Optimization

2008 · Antonio J. Nebro, Francisco Luna, et al. · IEEE Transactions on Evolutionary Computation · 267

Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT

2018 · Xiumin Zhou, Gongxuan Zhang, et al. · Future Generation Computer Systems · 255

Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators

2016 · Bingdong Li, Ke Tang, et al. · IEEE Transactions on Evolutionary Computation · 249

A multi-objective local search heuristic for scheduling Earth observations taken by an agile satellite

2015 · Panwadee Tangpattanakul, Nicolas Jozefowiez, et al. · European Journal of Operational Research · 156

Resource Management for Improving Soft-Error and Lifetime Reliability of Real-Time MPSoCs

2018 · Junlong Zhou, Jin Sun, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 152

On the value of user preferences in search-based software engineering: A case study in software product lines

2013 · Abdel Salam Sayyad, Tim Menzies, et al. · Proceedings/Proceedings - International Conference on Software Engineering · 152

Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front

2018 · Hisao Ishibuchi, Ryo Imada, et al. · IEEE Transactions on Evolutionary Computation · 147

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MOMBI: A new metaheuristic for many-objective optimization based on the R2 indicator

2013 · Raquel Hernandez Gomez, Carlos A. Coello Coello · IEEE Congress on Evolutionary Computation (CEC) · 140

Interval Multiobjective Optimization With Memetic Algorithms

2019 · Jing Sun, Zhuang Miao, et al. · IEEE Transactions on Cybernetics · 137

Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms

2019 · Bach Hoai Nguyen, Bing Xue, et al. · IEEE Transactions on Evolutionary Computation · 131

Multiobjective optimization by decomposition with Pareto-adaptive weight vectors

2011 · Jiang Siwei, Cai Zhihua, et al. · International Conference on Natural Computation (ICNC) · 131

On Expected-Improvement Criteria for Model-based Multi-objective Optimization

2010 · Tobias Wagner, Michael Emmerich, et al. · Springer eBooks · 126

Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization

2020 · Julian Blank, Kalyanmoy Deb, et al. · IEEE Transactions on Evolutionary Computation · 117

A practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering

2016 · Shuai Wang, Shaukat Ali, et al. · Proceedings/Proceedings - International Conference on Software Engineering · 115

Trophic niche size and overlap decreases with increasing ecosystem productivity

2020 · Justin S. Lesser, W. Ryan James, et al. · Oikos · 114

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Do Hypervolumes Have Holes?

2016 · Benjamin Blonder · The American Naturalist · 111

A Comparative Study of State-of-the-art Metaheuristics for Solving Many-objective Optimization Problems of Fixed Wing Unmanned Aerial Vehicle Conceptual Design

2023 · Siwakorn Anosri, Natee Panagant, et al. · Archives of Computational Methods in Engineering · 101

Works count: 1,022

Citation count: 14,050