Results 31 to 40 of about 600,362 (302)
Optimization of the Complex-RFM optimization algorithm
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Persson, Johan, Ölvander, Johan
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Mexican Axolotl Optimization: A Novel Bioinspired Heuristic
When facing certain problems in science, engineering or technology, it is not enough to find a solution, but it is essential to seek and find the best possible solution through optimization.
Yenny Villuendas-Rey +4 more
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Multi-Objective Optimization of an Industrial Isoprene Production Unit by Using Genetic Algorithm Approach [PDF]
The present work deals with the multi-objective optimization of an industrial Isoprene production unit by using Genetic Algorithm (GA). The purpose of this plant is to produce high purity Isoprene for obtaining synthetic and thermoplastic rubber from a ...
Xavier Joulia +9 more
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An Estimation of Distribution Particle Swarm Optimization Algorithm [PDF]
In this paper we present an estimation of distribution par-ticle swarm optimization algorithm that borrows ideas from recent de-velopments in ant colony optimization.
Iqbal, Mudassar +5 more
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Synthesizing optimal collective algorithms [PDF]
Both Zixian Cai and Zhengyang Liu contributed equally to the paper. The work was done during internships at Microsoft Research.
Zixian Cai +6 more
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In modern times, swarm intelligence has played an increasingly important role in finding an optimal solution within a search range. This study comes up with a novel solution algorithm named QUasi-Affine TRansformation-Pigeon-Inspired Optimization ...
Xiao-Xue Sun +4 more
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Traditional logistics delivery route optimization algorithm has some problems such as long time to find the optimal route. Based on this, this paper discusses swarm intelligence optimization algorithm and logistics delivery route optimization.
Guofu Zhao
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JayaX: Jaya algorithm with xor operator for binary optimization
Jaya is a population-based heuristic optimization algorithm proposed for solving constrained and unconstrained optimization problems. The peculiar distinct feature of Jaya from the other population-based algorithms is that it updates the positions of ...
Aslan, Murat +2 more
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Handbook of Moth-Flame Optimization Algorithm
Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives ...
Mirjalili, S, Seyedali Mirjalili
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ObjectivesUstekinumab (UST) optimization strategies, including shortening intervals and intravenous reinduction, should be administered to patients with partial or loss of respond. Evidence comparing these types of optimization treatments is limited.
Jiayin Yao +21 more
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