Investigation on Scaled CG-Type Algorithms for Unconstrained Optimization by Abbas Al-Bayati, Khalil Abo, Salah Shareef

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Computational Analysis of Self-Healing in Nanomaterials Using Neural Spike Algorithms by Jongho Seol, Jongyeop Kim, Abhilash Kancharla

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Farmer Ants Optimization Algorithm: A Novel Metaheuristic for Solving Discrete Optimization Problems by Ali Asghari, Mahdi Zeinalabedinmalekmian, Hossein Azgomi, Mahmoud Alimoradi, Shirin Ghaziantafrishi

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Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm by Alaa O. Khadidos, Ayman Yafoz

“…This paper proposes a novel Object Detection Model for Visually Impaired Individuals with a Metaheuristic Optimization Algorithm (ODMVII-MOA) technique. The proposed ODMVII-MOA technique aims to improve OD methods in real-time with advanced techniques to detect and recognize objects for disabled people. …”
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Towards efficient image segmentation: A fuzzy entropy-based approach using the snake optimizer algorithm by A. Tamilarasan, D. Rajamani

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Multiuser computation offloading for edge-cloud collaboration using submodular optimization by Bing LIANG, Wen JI

“…A computation offloading scheme based on edge-cloud computing was proposed to improve the system utility of multiuser computation offloading.This scheme improved the system utility while considering the optimization of edge-cloud resources.In order to tackle the problems of computation offloading mode selection and edge-cloud resource allocation,a greedy algorithm based on submodular theory was developed by fully exploiting the computing and communication resources of cloud and edge.The simulation results demonstrate that the proposed scheme effectively reduces the delay and energy consumption of computing tasks.Additionally,when computing tasks are offloaded to edge and cloud from devices,the proposed scheme still maintains stable system utilities under ultra-limited resources.…”
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Digital Watermarking using Dragonfly Optimization Algorithm by Satender Sharma, Usha Chauhan, Ruqaiya Khanam, Krishna Kant Singh

“…In this paper a novel digital watermarking algorithm is proposed. The proposed method comprises of a watermarking embedding and extraction algorithm using bio inspired optimization technique. …”
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Capuchin search algorithm based task scheduling in cloud computing environment by Sivakumar Ramu, Rameshkumar Ranganathan, Ramakrishnan Ramamoorthy

“…In this paper, we propose a capuchin search algorithm based task scheduling (CSTS) in cloud computing environment. …”
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Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment by U.K. Jena, P.K. Das, M.R. Kabat

“…Load balancing has to be carried out in such a manner that all virtual machines (VM) should have balanced load to achieve optimal utilization of its capabilities. This paper proposes a novel methodology of dynamic balancing of load among the virtual machines using hybridization of modified Particle swarm optimization (MPSO) and improved Q-learning algorithm named as QMPSO. …”
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Optimal Design of Vehicle Structure Based on Computer-Aided Technology by Guang Bai

“…In order to improve the optimization design effect of modern automobile vehicle structure, this paper combines computer-aided technology to carry out vehicle structure optimization design, introduces the material description of the collision process, expounds the boundary conditions in the collision process, and introduces the theory of explicit integration algorithm. …”
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A neo-cooperation search based evolutionary algorithm for multi-objective electric rope shovel production scheduling by Jue Zhang, Haifeng Yue, Yongpeng Wang, Ruhan Guo, Shuai Shao

Subjects: “…evolutionary computation…”
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A pair-based task scheduling algorithm for cloud computing environment by Sanjaya Kumar Panda, Shradha Surachita Nanda, Sourav Kumar Bhoi

“…Here, we present a pair-based task scheduling algorithm for cloud computing environment, which is based on the well-known optimization algorithm, called Hungarian algorithm. …”
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Optimization of the learning rate in the algorithm for data visualization by Viktor Medvedev, Gintautas Dzemyda

“…In our research the emphasis is put on the optimization of the learning rate to save computation time without losing the mapping quality. …”
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Genetic algorithm for parameter optimization of supercapacitor model. by Filipe Menezes, Sérgio Cunha, William Assis, Allan Manito, Reinaldo Leite, Thiago Soares, Hugo Lott

“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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An Optimized Strategy Coverage Control Algorithm for WSN by Zeyu Sun, Weiguo Wu, Huanzhao Wang, Heng Chen, Wei Wei

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A Cuckoo Search Algorithm for Multimodal Optimization by Erik Cuevas, Adolfo Reyna-Orta

“…On the other hand, the cuckoo search (CS) algorithm is a simple and effective global optimization algorithm which can not be directly applied to solve multimodal optimization problems. …”
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Mathematical Models and Algorithms of Optimal Load Management of Electricity Consumers by I. U. Rakhmonov, K. M. Reymov

“…Based on the calculated-and-experimental studies, it was determined that the proposed mathematical model of the problem is adequate, while the developed algorithms for optimal planning of short-term power system modes with optimization of load profile of regulated electricity consumers and taking into account various types of limitations are of high computational qualities.…”
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UAV Mission Computer Operation Mode Optimization Focusing on Computational Energy Efficiency and System Responsiveness by Oleksandr Liubimov, Ihor Turkin, Valeriy Cheranovskiy, Lina Volobuieva

“…The results are the basis for developing algorithms and energy-efficient design strategies for the mission computer to solve the optimization problem. …”
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A Collaborative Auto-Diversified Optimization Scheme  by Besma Hezili, Hichem Talbi

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Investigation of the Internal Structure of Hard-to-Reach Objects Using a Hybrid Algorithm on the Example of Walls by Rafał Brociek, Józef Szczotka, Mariusz Pleszczyński, Francesca Nanni, Christian Napoli

“…To simulate the structure of the tested object, we use a hybrid algorithm that is a combination of a metaheuristic optimization algorithm (Group Teaching Optimization Algorithm) and a numerical optimization method (Hook-Jeeves method). …”
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