A Bayesian approach to constrained single- and multi-objective optimization [PDF]
, 2016 This article addresses the problem of derivative-free (single- or multi-objective) optimization subject to multiple inequality constraints. Both the objective and constraint functions are assumed to be smooth, non-linear and expensive to evaluate.
A Bayesian +7 more
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Multi objective optimization of microalgae flat plate photobioreactor design
E3S Web of Conferences, 2018 Indonesia as a maritime country has high potential in developing microalgae. Microalgae in Indonesia have a high oil component of around 20-30%, for example Nitzschia palea (23%), Chlorella vulgaris (27%), and Euglena gracilis (20%).
Rahman Arif +3 more
doaj +1 more source
Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging [PDF]
, 2007 The use of kriging in cost-effective single-objective optimization is well established, and a wide variety of different criteria now exist for selecting design vectors to evaluate in the search for the global minimum.
Hawe, G.I., Sykulski, J.K.
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Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios
IEEE Access, 2017 Recently, a large number of multi-objective evolutionary algorithms (MOEAs) for many-objective optimization problems have been proposed in the evolutionary computation community. However, an exhaustive benchmarking study has never been performed.
Ryoji Tanabe +2 more
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A benchmark generator for dynamic multi-objective optimization problems [PDF]
, 2014 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Many real-world optimization problems appear to not only have multiple objectives that conflict each other ...
Jiang, Jiang, Shouyong, Yang, Shengxiang
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Methods That Optimize Multi-Objective Problems: A Survey and Experimental Evaluation
IEEE Access, 2020 Most current multi-optimization survey papers classify methods into broad objective categories and do not draw clear boundaries between the specific techniques employed by these methods.
Kamal Taha
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Multi‐objective optimization of cordon sanitaire with vehicle waiting time constraint
IET Intelligent Transport Systems, 2021 The outbreak of COVID‐19 has disrupted our regular life. Many local authorities have enforced a cordon sanitaire for the protection of sensitive areas. Travelers can only travel across the cordon after getting qualified.
Hongzhi Lin
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Real ant colony optimization as a tool for multi-criteria problems
Computer Assisted Methods in Engineering and Science, 2017 This paper presents a population-based heuristic method - a real ant colony optimization (RACO) as a tool for multi-criteria optimization problems. The idea of multi-criteria optimization is discussed and the necessary modifications of RACO are proposed.
Iwona Nowak, Grzegorz Nowak
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Multi-Objective Big Data Optimization with jMetal and Spark [PDF]
, 2017 Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster computing system for solving multi ...
A Cabanas-Abascal +11 more
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Guiding model‐driven combination dose selection using multi‐objective synergy optimization
CPT: Pharmacometrics & Systems Pharmacology, 2023 Despite the growing appreciation that the future of cancer treatment lies in combination therapies, finding the right drugs to combine and the optimal way to combine them remains a nontrivial task. Herein, we introduce the Multi‐Objective Optimization of
Jana L. Gevertz, Irina Kareva
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