Discrete optimizations’ problems of deliveries of heterogeneous products by V. V. Egorov

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DETERMINING THE SIZE OF THE POPULATION OF THE GENETIC ALGORITHM FOR THE PROBLEMS OF DISCRETE OPTIMIZATION IN CAD by V. V. Frolov

“…The main area of use of this method is discrete optimization problems with objective functions of several variables, where the ranges of admissible values are finite and have a small dimension.…”
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ABOUT PRODUCTION-TRANSPORT PROBLEM REDUCTION TO THE TWO-LEVEL PROBLEM OF DISCRETE OPTIMIZATION AND ITS APPLICATION by E. Ivokhin, V. Navrodskiy, D. Apanasenko

“…A scheme is proposed for reducing the problem to a two-level continuous-discrete optimization problem. …”
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A Discrete-time Neural Network for Solving Convex Optimization Problem in Support Vector Machine by LIU Feng-qiu, ZHANG Hong-xu

“…This paper proposes a discrete-time neural network model to solve the convex optimization problem deduced by a positive-kernel-based support vector machine ( SVM) . …”
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Discrete Optimal Control Method Based on the Optimal Strategy of Fishing by Lichun Zhang, Qingdao Huang

“…Our method is new and efficient for discrete optimal control problem, which is different from the other optimal methods such as the traditional variational method, the Pontryagin principle of maximum, and the dynamic programming. …”
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An artificial intelligence technique: experimental analysis of population-based physarum-energy optimization algorithm by Mehmet Fatih Demiral

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Automatic Driving Process Modeling and Solving of the Riding Comfort Optimal Problem for Metro Train by FENG Jianghua, LI Xiangyu, HU Yunqing, WANG Bin

“…Riding comfort optimal driving problem is a typical one in automatic driving system for metro trains. …”
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Stable matching-enhanced MOEA/D for solving multi-objective optimal power flow problems by Ebrahim Akbari, Amin Khodabakhshian, Abolfazl Rahimnejad, Stephen Andrew Gadsden

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GRID-PARAMETER OPTIMIZATION OF DISCRETE SYSTEMS WITH PHASE CONTROL by A. A. Lobaty, L. V. Rusak, M. A. Al-Mashhadani

“…Solved the problem of determining the optimal values of the parameters of a discrete system with phase control, for which the minimum of a given functional quality. …”
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Efficient Multi-Start Gray Wolf Optimization Algorithm for the Distributed Permutation Flowshop Scheduling Problem with Preventive Maintenance by Congcong Sun, Hongyan Sang, Leilei Meng, Biao Zhang, Tao Meng

“…Therefore, this paper studies the DPFSP with preventive maintenance (PM/DPFSP) aiming at minimizing the total flowtime. For solving the problem, a discrete gray wolf optimization algorithm with restart mechanism (DGWO_RM) is proposed. …”
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Simulation-based deep reinforcement learning for multi-objective identical parallel machine scheduling problem by Sohyun Nam, Young-in Cho, Jong Hun Woo

Subjects: “…Parallel machine scheduling problem…”
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A Stochastic Discrete Fractional Cournot Duopoly Game: Modeling, Stability, and Optimal Control by Jie Ran, Yonghui Zhou

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Optimal Control Problem of Converter Steelmaking Production Process Based on Operation Optimization Method by Jun Zhang

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Contribution of the Scientific School of Saint Petersburg Electrotechnical University in the Field of Optimal Discrete Signal Design by V. P. Ipatov

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Automated Parcel Locker Configuration Using Discrete Event Simulation by Eugen Rosca, Floriana Cristina Oprea, Anamaria Ilie, Stefan Burciu, Florin Rusca

“…The paper investigates the optimal design of APLs systems under stochastic demand and operational constraints, formulating the problem as a resource allocation optimization with service-level guarantees. …”
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Using Surrogate Models in the Construction of a Pareto-Optimal Positioning Electropneumatic Actuator with Discrete Pneumatic Valves by M. O. Sheykin, S. N. Cherkasskikh, D. V. Shilin, V. V. Fedenkov

“…The application of simpler discrete distributors faces the problem related to the need to reach a compromise between their switching frequency and positioning accuracy.Existing studies mainly focus on optimizing individual performance indicators of pneumatic actuators and do not offer effective methods for finding a compromise between conflicting criteria. …”
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Adaptive continuous-discrete variables optimization for active learning with extremely sparse data in optical material design by Serang Jung, Eungkyu Lee

“…In the adaptive scheme, we examine the performance of three machine learning (ML) models—Gaussian process regression, factorization machines (FM), and field-aware FM—for a surrogate function, and ML model-specific optimization algorithms such as discrete particle swarm optimization, artificial bee colony optimization, and simulated annealing. …”
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Dynamic Vehicle Routing Problems with Enhanced Ant Colony Optimization by Haitao Xu, Pan Pu, Feng Duan

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An Optimization Method for the Remanufacturing Dynamic Facility Layout Problem with Uncertainties by Lingling Li, Congbo Li, Huijie Ma, Ying Tang

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A New Discrete Grid-Based Bacterial Foraging Optimizer to Solve Complex Influence Maximization of Social Networks by Yichuan Zhang, Yibo Yong, Shujun Yang, Tian Zhang

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