Search Results - Advanced Optimization Algorithms Research

A new insight for real-time wastewater quality prediction using hybridized kernel-based extreme learning machines with advanced optimization algorithms by Alavi, Javad, Ewees, Ahmed A., Ansari, Sepideh, Shahid, Shamsuddin, Yaseen, Zaher Mundher

“…) with intelligent optimization algorithms for the reliable prediction of real-time COD values. The combined time-series learning method and consumer behaviours, estimated from water-use data (hour/day…”
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Optimizing pharmaceutical inventory and investment strategies during pandemics: A dynamic approach integrating environmental emission rates and advanced optimization algorithms by Dwivedi, Vinita, Keswani, Mamta, Kumar Khedlekar, Uttam, Kumar, Lalji

“… items, aiming to maximize retailer's profit. Advanced optimization algorithms, including Ant Colony and Cuckoo Search, determine optimal pricing, investment costs, and replenishment schedules…”
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Sampling-based imaging model for fast source and mask optimization in immersion lithography by Sun, Yiyu, Li, Yanqiu, Liao, Guanghui, Yuan, Miao, Wei, Pengzhi, Li, Yaning, Zou, Lulu, Liu, Lihui

“…Current source and mask optimization (SMO) research tends to focus on advanced inverse optimization algorithms to accelerate SMO procedures…”
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Global Potato Production Forecasting Based on Time Series Analysis and Advanced Waterwheel Plant Optimization Algorithm by Alhussan, Amel Ali, Khafaga, Doaa Sami, Abotaleb, Mostafa, Mishra, Pradeep, El-Kenawy, El-Sayed M.

“… We focus on the area of optimization techniques herein in this study and develop a particular use of metaheuristic algorithms applied to improve predictive models…”
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Design Optimization of Heat Exchangers with Advanced Optimization Techniques: A Review by Rao, R. Venkata, Saroj, Ankit, Ocloń, Pawel, Taler, Jan

“… The chief objective of this work is to focus on the parametric design optimization of different types of HEs using advanced optimization algorithms and therefore only the research works associated…”
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Integrated decision support system for optimizing time and cost trade offs in linear repetitive construction projects by Mohamed, Ahmed Gouda, Ali, Ali Hassan, Abdelhady, Ahmed Adel

“…) framework specifically designed for repetitive project environments. Unlike previous studies that focus solely on single-algorithm applications, this research evaluates two metaheuristic optimization strategies—Genetic Algorithm (GA…”
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Deep learning-Guided optimization of cobalt catalysts for antibiotic degradation by Jiang, Siyuan, Zhou, Shengwen, Wang, Ce, Man, Zhihao, Shi, Xiaoqi, Cheng, Xiuwen

“…Confronting the escalating issue of antibiotic pollution in global aquatic environments, our research integrates machine learning with optimization algorithms to improve antibiotic removal in advanced…”
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Dynamic RF Optimization: Advanced Wi-Fi Resource and Radio Management Algorithms for Network Performance Enhancement by Prasad Danekula

“…) optimization techniques in modern wireless networks, focusing on dynamic resource and radio management algorithms…”
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Optimal sizing and allocation of multiple distribution generations for radial distribution networks enhancement using advanced metaheuristic-based osprey optimization algorithm by Adebayo, Isaiah, Sun, Yanxia, Ikeh, Emmanuel, Salimon, Sunday, Aborisade, David, Adebiyi, Oluwaseyi

“… these. In this paper, a metaheuristic optimization approach called Osprey Optimization Algorithm (OOA…”
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Multi-Focus Image Fusion Using Energy Valley Optimization Algorithm by Akbulut, Harun

“… These methods are called multi-focus image fusion methods. This study proposes a block-based multi-focus image fusion method using the Energy Valley Optimization Algorithm (EVOA…”
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Rigetti Computing Awarded DARPA IMPAQT Contract to Advance Quantum Algorithms for Solving Combinatorial Optimization Problems: Rigetti was selected by the Defense Advanced Research Projects Agency (DARPA) to advance the state-of-the-art in quantum algorithms for solving combinatorial optimization problems as part of the Imagining Practical Applications for a Quantum Tomorrow (IMPAQT) program

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Workflow Scheduling in Cloud Using Nature Inspired Optimization Algorithms by Chhabra, Amit

“… In this paper we have presented a survey of variety of metaheuristic approaches such as genetic algorithm, particle swarm optimization, ant colony optimization, Cat Swarm, Bat, firefly and Grey Wolf…”
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REDUCTION OF REAL POWER LOSS BY ADVANCED PARTICLE SWARM OPTIMIZATION ALGORITHM by Lenin, K.

“…This paper presents Advanced Particle Swarm Optimization (APSO) algorithm for solving optimal reactive power problem…”
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Bi-objective Hybrid Particle Swarm Optimization & Ant Colony Optimization Workflow Scheduling Algorithm for Cloud by Goyal, Ritu

“… But most of the existing studies try to optimize only one of the objectives. But the need of the hour is to focus on multipleobjective like time, cost, CPU utilization, Reliability and energy optimization etc…”
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A new multiobjective performance criterion used in PID tuning optimization algorithms by Sahib, Mouayad A., Ahmed, Bestoun S.

“…In PID controller design, an optimization algorithm is commonly employed to search for the optimal controller parameters…”
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Image Compression Using Advanced Optimization Algorithms by Mohamed Emara, Rehab Abdel-Kader, Mohamed Yasein

“… Several images have been used to test the proposed algorithm. Experimental results demonstrate…”
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A Novel Approach for Evaluating Web Page Performance Based on Machine Learning Algorithms and Optimization Algorithms by Mohammed Abdul Rahman, Dr. Abdul Quawi, Ms. Bhavana Molugu3

“… This paper proposes a novel approach that utilizes machine learning algorithms in combination with optimization techniques to evaluate and enhance web page performance…”
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Multi-objective optimisation of an interactive buildings-vehicles energy sharing network with high energy flexibility using the Pareto archive NSGA-II algorithm by Zhou, Yuekuan, Cao, Sunliang, Kosonen, Risto, Hamdy, Mohamed

“…•Multi-objective optimization using the Pareto archive NSGA-II algorithm.•Optimal solutions to energy-related conflicts for multi-criteria decision-makers…”
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Research and Application of Milling Parameters Optimization Based on Genetic Algorithm by Yuan, Sheng Wan, Zhang, Yu, Hu, Min Min

“… In this paper, using genetic algorithm and Matlab software [1] to optimize cutting parameters of milling and combining with the actual cutting test in factory to verify the optimized data…”
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A Survey on Optimization Algorithms: Challenges and Future Opportunities by Kumar, Subash

“…This paper conducts a comprehensive exploration of contemporary optimization algorithms, addressing challenges and outlining potential avenues for future research…”
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