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Pymoo: Multi-Objective Optimization in Python [PDF]
IEEE Access, 2020 Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these research fields, more optimization related frameworks have arisen in the past few years.
Julian Blank, Kalyanmoy Deb
exaly +4 more sources
Quantum approximate multi-objective optimization. [PDF]
Nat Comput SciThe goal of multi-objective optimization is to understand optimal trade-offs between competing objective functions by finding the Pareto front, i.e., the set of all Pareto optimal solutions, where no objective can be improved without degrading another one.
Kotil A +6 more
europepmc +5 more sources
A Decentralized Multi-objective Optimization Algorithm [PDF]
Journal of Optimization Theory and Applications, 2021 During the past two decades, multi-agent optimization problems have drawn increased attention from the research community. When multiple objective functions are present among agents, many works optimize the sum of these objective functions. However, this formulation implies a decision regarding the relative importance of each objective function.
Maude J. Blondin, Matthew T. Hale
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Multi-objective quality diversity optimization
Proceedings of the Genetic and Evolutionary Computation Conference, 2022 In this work, we consider the problem of Quality-Diversity (QD) optimization with multiple objectives. QD algorithms have been proposed to search for a large collection of both diverse and high-performing solutions instead of a single set of local optima. Thriving for diversity was shown to be useful in many industrial and robotics applications. On the
Thomas Pierrot +3 more
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A multi-objective optimization for video orchestration [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Federico Colangelo +3 more
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Multi-objective parametric query optimization [PDF]
Proceedings of the VLDB Endowment, 2014 Classical query optimization compares query plans according to one cost metric and associates each plan with a constant cost value. In this paper, we introduce the Multi-Objective Parametric Query Optimization (MPQ) problem where query plans are compared according to multiple cost metrics and the cost of a given plan according to a given metric is ...
Immanuel Trummer, Christoph Koch 0001
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Multi-Objective Simultaneous Optimistic Optimization [PDF]
Information Sciences, 2018 Optimistic methods have been applied with success to single-objective optimization. Here, we attempt to bridge the gap between optimistic methods and multi-objective optimization. In particular, this paper is concerned with solving black-box multi-objective problems given a finite number of function evaluations and proposes an optimistic approach ...
Abdullah Al-Dujaili +1 more
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Multi-objective Optimization of Formal Specifications [PDF]
2012 IEEE 14th International Symposium on High-Assurance Systems Engineering, 2012 Even in the domain of safety critical systems, safety and reliability are not the only goals and a developing engineer is faced with the problem to find good compromises wrt. other antagonistic objectives, in particular economic aspects of a system. Thus there does not exist a single optimal design variant of a system but only compromises each ''best''
Simon Struck +3 more
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Methods for multi-objective optimization: An analysis [PDF]
Information Sciences, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ioannis Giagkiozis, Peter J. Fleming
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Review of Economic Studies, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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