Results 1 to 10 of about 7,779 (117)
A self-driving laboratory advances the Pareto front for material properties [PDF]
Nature Communications, 2022 Useful materials must satisfy multiple objectives. The Pareto front expresses the trade-offs of competing objectives. This work uses a self-driving laboratory to map out the Pareto front for making highly conductive coatings at low temperatures.
Benjamin P. MacLeod +15 more
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Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making
IEEE Access, 2023 This work introduces the following concepts of directional and estimated directional Pareto front to encourage multi-objective decision making, especially when the Pareto front exists in limited regions in the objective space. The general output of multi-
Tomoaki Takagi +2 more
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pyMCMA: Uniformly distributed Pareto-front representation
SoftwareXpyMCMA is the Python implementation of a novel method for autonomous computation of the Pareto-front representation composed of efficient solutions distributed uniformly in terms of distances between neighbor Pareto solutions. pyMCMA supports scientific,
Marek Makowski +4 more
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A new approach based on Gaussian degree of closeness for solving multi-objective optimization problems [PDF]
تصمیم گیری و تحقیق در عملیات, 2023 The Pareto set of optimal solutions resulting from solving multi-objective optimization problems, although on the one hand increases the flexibility in choosing an optimal solution according to the conditions of a system, but on the other hand, due to ...
Elham Zahiri +2 more
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Hybrid multi-objective differential evolution for multi-objective optimization of industrial polymeric materials [PDF]
Computer Methods in Materials Science, 2011 MOO of industrial case studies involving process design decisions [namely, styrene reactor, polyethylene terephthalate (PET) reactor, and low density polyethylene (LDPE) tubular reactor] is carried out using the newly developed algorithms.
Ashish M. Gujarathi, B. V. Babu
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Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem
Journal of Marine Science and Engineering, 2020 In this paper, some methodologies aimed at the identification of the Pareto front of a multi-objective optimization problem are presented and applied. Three different approaches are presented: local sampling, Pareto front resampling and Normal Boundary ...
Daniele Peri
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EVOLUTIONARY ALGORITHM-BASED PARETO FRONT EXPLORATION FOR EFFICIENT COST-PERFORMANCE TRADEOFFS IN BIG DATA ANALYTICS [PDF]
ICTACT Journal on Soft Computing, 2023 Big data analytics often involves complex decision-making processes that require finding efficient cost-performance tradeoffs. Evolutionary algorithms (EAs) have proven to be effective in solving multi-objective optimization problems by exploring the ...
Deepak Gupta +4 more
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BMC Bioinformatics, 2022 Background Single-cell RNA sequencing (scRNA-seq) technology has contributed significantly to diverse research areas in biology, from cancer to development.
Hui Li +3 more
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Jurnal Matematika Integratif, 2020 Teori optimisai merupakan salah satu disiplin ilmu matematika yang banyak diterapkan dalam dunia nyata. Hampir semua masalah optimisasi di dunia nyata memiliki banyak fungsi objektif (multiobjektive) yang harus dipenuhi secara simultan dan seringkali ...
Syarifah Inayati, Rahmawati Rahmawati
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Efficient Elitist Cooperative Evolutionary Algorithm for Multi-Objective Reinforcement Learning
IEEE Access, 2023 Sequential decision-making problems with multiple objectives are known as multi-objective reinforcement learning. In these scenarios, decision-makers require a complete Pareto front that consists of Pareto optimal solutions. Such a front enables decision-
Dan Zhou, Jiqing Du, Sachiyo Arai
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