Effects of Decision Variables Selection on Sewer Optimization Problem by Tulin Cetin, Mustafa Erkan Turan, Mumin Emre Senol

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EXPERT EVALUATIONS IN THE PROBLEMS OF OPTIMIZING THE PRODUCTION OF FOOD PRODUCTS by P. G. Asalkhanov, N. V. Bendik, Ya. N. Ivan’o

“…Objectives The aim of the work is the use of various models for optimizing the production of agricultural products for management using empirical data and expert estimates.Method It is proposed to use individual or group averaged and interval values of production and economic parameters as expert estimates for the above linear programming problems under uncertainty. …”
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A Novel Hybrid Optimizer Based on Coati Optimization Algorithm and Differential Evolution for Global Optimization and Constrained Engineering Problems by Saptadeep Biswas, Binanda Maiti, Gyan Singh, Absalom E. Ezugwu, Kashif Saleem, Laith Abualigah, Aseel Smerat, Uttam Kumar Bera

“…Abstract This paper presents a novel hybrid metaheuristic, the Hybrid Coati Optimization Algorithm with Differential Evolution (HCOADE), developed to address complex global optimization tasks and constrained engineering design problems. …”
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A Multi-Strategy Adaptive Coati Optimization Algorithm for Constrained Optimization Engineering Design Problems by Xingtao Wu, Yunfei Ding, Lin Wang, Hongwei Zhang

“…Comparative experiments with many existing algorithms are conducted using the CEC2017 test functions, and the proposed algorithm is applied to seven representative engineering design problems. MACOA’s average rankings in the three dimensions (30, 50, and 100) were 2.172, 1.897, and 1.759, respectively. …”
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Three Strategies Enhance the Bionic Coati Optimization Algorithm for Global Optimization and Feature Selection Problems by Qingzheng Cao, Shuqi Yuan, Yi Fang

“…The bionic ABCCOA algorithm was tested on the CEC2020 test functions and engineering problem, achieving an over 90% optimization success rate and faster convergence, confirming its efficiency. …”
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An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem by Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso

“…They are often used to solve complex optimization problems, but there are still problems such as premature convergence and limited global search efficiency. …”
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Some questions of implementation of the national project on small and average business by L. A. Akhmetov, D. A. Zuravlev

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Optimization of Heterogeneous Container Loading Problem with Adaptive Genetic Algorithm by Xianbo Xiang, Caoyang Yu, He Xu, Stuart X. Zhu

“…This paper studies an optimized container loading problem with the goal of maximizing the 3D space utilization. …”
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Discrete Starfish Optimization Algorithm for Symmetric Travelling Salesman Problem by Muhammet Aktas, Fatih Kilic

“…This paper introduces a new discrete StarFish Optimization Algorithm (D-SFOA) to solve a complex discrete Symmetric Travelling Salesman Problem (STSP). …”
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Steepest-Descent Approach to Triple Hierarchical Constrained Optimization Problems by Lu-Chuan Ceng, Cheng-Wen Liao, Chin-Tzong Pang, Ching-Feng Wen

“…It is proven that under appropriate assumptions, the proposed algorithm converges strongly to the unique solution of a triple hierarchical constrained optimization problem (THCOP) over the common fixed point set of finitely many nonexpansive mappings, with constraints of finitely many generalized mixed equilibrium problems (GMEPs), finitely many variational inclusions, and a convex minimization problem (CMP) in a real Hilbert space.…”
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Performance Assessment of Natural Survivor Method-Based Metaheuristic Optimizers in Global Optimization and Engineering Design Problems by Hüseyin Bakır

“…NSM-LSHADE-SPACMA_Case2, which was found to be the most powerful of the NSM-based algorithms, is used to solve cantilever beam design, tension/compression spring design, pressure vessel design and gear train design problems. The optimization results are also compared with eight state-of-the-art metaheuristics, including Rime Optimization Algorithm (RIME), Nonlinear Marine Predator Algorithm (NMPA), Northern Goshawk Optimization (NGO), Kepler Optimization Algorithm (KOA), Honey Badger Algorithm (HBA), Artificial Gorilla Troops Optimizer (GTO), Exponential Distribution Optimization (EDO) and Hunger Games Search (HGS). …”
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Performance Optimization of Multi-Roller Flat Burnishing Process in Terms of Surface Properties by Minh-Thai Le, An-Le Van, Trung Thanh Nguyen

“…The Kriging-based AR and BH correlations could be used to present nonlinear experimental data. The optimizing technique could be utilized to deal with optimizing problems for different machining operations.…”
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SPEEDING ALGORITHM FOR MINIMAX OPTIMIZATION OF ALLOCATION PROBLEM SOLUTIONS IN HOMOGENEOUS SYSTEMS by Rudolf Anatolyevich Neydorf, Artem Alexandrovich Zhikulin

“…The optimization algorithm for solving homogeneous allocation problems of the scheduling theory is described and proved. …”
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Component matching optimization of high-performance turbofan engine based on experiment test and adaptive performance model to control the average gas temperature by Ronghui Cheng, Zhishu Zhang, Linyuan Jia, Xuedong Zhang, Longlong Yang

“…To solve this problem, this paper proposes a new idea of a component matching optimization method to control average gas temperature. …”
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An improved enterprise development optimizer based on labor migration for numerical optimization by Dawei Zhao, Leidong Feng, Yijiang Wang, Xinyu Cai, Xiang Liu

“…In addition, engineering design optimization problems are investigated to further demonstrate the reliability and flexibility of LMEDO. …”
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Parameter Adaptive Manta Ray Foraging Optimization for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Yongxuan Yao, Mingxin Zhu, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

“…On 22 IEEE CEC2011 real-world optimization problems, PAMRFO achieved an average win rate of 55.91% compared to ten advanced algorithms. …”
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A Deep-Layered Water Flow Optimizer for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Mingxin Zhu, Yongxuan Yao, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

“…In the experimental section, we compare DWFO with nine state-of-the-art algorithms on the IEEE Congress on Evolutionary Computation 2017 (CEC2017) benchmark functions and the CEC2011 real-world optimization problems. DWFO achieved average win rates of 83.62% and 78.28%, respectively, which thoroughly validates its superior performance and practicality. …”
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Hierarchical guided manta ray foraging optimization for global continuous optimization problems and parameter estimation of solar photovoltaic models by Zhentao Tang, Kaiyu Wang, Lan Zhuang, Mingxin Zhu, Yongxuan Yao, Huiqin Chen, Jing Li, Xiaoxiang Wu, Shangce Gao

“…To validate the effectiveness of HGMRFO, we compared it with seven state-of-the-art algorithms on 29 IEEE CEC2017 benchmark functions, achieving an average win rate of 73.15%. On 22 IEEE CEC2011 real-world optimization problems, HGMRFO obtained the most optimal solutions. …”
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PROBLEM OF OPTIMIZATION OF ENTERPRISE FINANCIAL STREAMS: URGENCY UNDER ECONOMIC CRISIS CONDITIONS by J. E. Gorbach, S. M. Kozlov

“…The paper considers a problem of structural optimization of financial streams in the economic activities of the enterprises. …”
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Modeling and Optimization of Stochastic Joint Replenishment and Delivery Scheduling Problem with Uncertain Costs by Lin Wang, Hui Qu, Yanhui Li, Jing He

“…We develop a practical JRD model with stochastic demand under fuzzy backlogging cost, fuzzy minor ordering cost, and fuzzy inventory holding cost. The problem is to determine procedures for inventory management and vehicle routing simultaneously so that the warehouse may satisfy demand at a minimum long-run average cost. …”
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