Performance indicators in multiobjective optimization
type: Item
instance of: scholarly article
title: Performance indicators in multiobjective optimization
zbMATH Open document ID: 1487.90580
author: Charles Audet
author: Jean Bigeon
author: Dominique Cartier
author: Sébastien Le Digabel
author: Ludovic Salomon
published in: European Journal of Operational Research
publication date: 2021-06-07T00:00:00Z
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90-02
zbMATH DE Number: 7356075
zbMATH Keywords: multiobjective optimization
zbMATH Keywords: quality indicators
zbMATH Keywords: performance indicators
describes a project that uses: BMOBench
describes a project that uses: SMS-EMOA
describes a project that uses: weightedHypervolume
describes a project that uses: DFMO
describes a project that uses: Omni-optimizer
describes a project that uses: NBI
MaRDI profile type: Publication
full work available at URL: j.ejor.2020.11.016
OpenAlex ID: W3105444733
cites work: Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
cites work: Multiobjective Optimization Through a Series of Single-Objective Formulations
cites work: A mesh adaptive direct search algorithm for multiobjective optimization
cites work: Theory of the hypervolume indicator
cites work: Hypervolume-based multiobjective optimization: theoretical foundations and practical implications
cites work: Q4331755
cites work: Best practices for comparing optimization algorithms
cites work: SMS-EMOA: multiobjective selection based on dominated hypervolume
cites work: Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
cites work: Multiobjective optimization. Interactive and evolutionary approaches
cites work: Approximating the volume of unions and intersections of high-dimensional geometric objects
cites work: Tight Bounds for the Approximation Ratio of the Hypervolume Indicator
cites work: Approximation quality of the hypervolume indicator
cites work: Three new metrics to measure the convergence of metaheuristics towards the Pareto frontier and the aesthetic of a set of solutions in biobjective optimization
cites work: Optimization Methods in Finance
cites work: Direct Multisearch for Multiobjective Optimization
cites work: Pareto simulated annealing—a metaheuristic technique for multiple‐objective combinatorial optimization
cites work: Efficient computation of the search region in multi-objective optimization
cites work: Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
cites work: Multi-objective optimization using evolutionary algorithms
cites work: Omni-optimizer: a generic evolutionary algorithm for single and multi-objective optimization
cites work: Benchmarking optimization software with performance profiles.
cites work: Multicriteria Optimization
cites work: On Quality Indicators for Black-Box Level Set Approximation
cites work: A Multicriteria Generalization of Bayesian Global Optimization
cites work: On the quality of discrete representations in multiple objective programming
cites work: A Bayesian approach to constrained single- and multi-objective optimization
cites work: Evolutionary Multi-Criterion Optimization
cites work: The logarithmic hypervolume indicator
cites work: A direction based classical method to obtain complete Pareto set of multi-criteria optimization problems
cites work: An analysis of the hypervolume Sharpe-ratio indicator
cites work: Q4826741
cites work: Minimal Riesz energy point configurations for rectifiable \(d\)-dimensional manifolds
cites work: Improved quick hypervolume algorithm
cites work: Equidistant representations: connecting coverage and uniformity in discrete biobjective optimization
cites work: A box decomposition algorithm to compute the hypervolume indicator
cites work: A Derivative-Free Approach to Constrained Multiobjective Nonsmooth Optimization
cites work: A stopping criterion for multi-objective optimization evolutionary algorithms
cites work: Benchmarking Derivative-Free Optimization Algorithms
cites work: Q4324980
cites work: Q5491447
cites work: Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results
cites work: Measuring the quality of discrete representations of efficient sets in multiple objective mathematical programming
cites work: Q3997893
cites work: Evolutionary algorithms for multi-objective optimization: Performance assessments and comparisons
Wikidata QID: Q115188541
DOI: 10.1016/J.EJOR.2020.11.016
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