Results 41 to 50 of about 3,892,997 (230)

A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]

, 2010
Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
Wang, H, Yang, S, Wang, Dingwei, Hongfeng Wang, Shengxiang Yang, W. H. Ip, Ip, W. H., Dingwei Wang, Yang, Shengxiang, Wang, Hongfeng, Ip, WH, Wang, D   +11 more
core   +1 more source

A hybrid whale optimization algorithm with tabu search algorithm for resource allocation in indoor VLC systems

, 2023
International audienceThis paper proposes a novel hybrid approach (WOATS) based on the hybridization of Whale Optimization Algorithm (WOA) with Tabu search Algorithm (TS) for solving the resource allocation problem for indoor multi-user downlink VLC ...
Yahia, Selma, Ramdane-Cherif, Amar, B. Eldeeb, Hossien, Meraihi, Yassine, Mekhmoukh Taleb, Sylia, Taleb, Sylia Mekhmoukh, Mirjalili, Seyedali, Refas, Souad, Eldeeb, Hossien B.   +8 more
core   +1 more source

An island based hybrid evolutionary algorithm for optimization [PDF]

, 2008
This is a post-print version of the article - Copyright @ 2008 Springer-VerlagEvolutionary computation has become an important problem solving methodology among the set of search and optimization techniques. Recently, more and more different evolutionary
Yang, S, Li, Changhe, Shengxiang Yang, Yang, Shengxiang, Changhe Li, Li, C   +5 more
core   +1 more source

Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization

Energy and AI
This study aims to optimize an isolated solar-wind-diesel microgrid to reduce reliance on diesel generators, lower operational costs, and mitigate environmental pollution in remote areas. In this optimization, arithmetic optimization algorithm and golden
Sujoy Barua, Adel Merabet, Ahmed Al-Durra, Tarek El Fouly, Ehab F. El-Saadany   +4 more
doaj   +1 more source

An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates

, 2021
In this paper, two-stage approaches are proposed to study damage detection, localization and quantification in Functionally Graded Material (FGM) plate structures.
Mirjalili, S, Abdel Wahab, M, Le Thanh, C, Khatir, S, Tiachacht, S, Ghandourah, E   +5 more
core   +1 more source

Hardware acceleration of number theoretic transform for zk‐SNARK

Engineering Reports, EarlyView., 2023
An FPGA‐based hardware accelerator with a multi‐level pipeline is designed to support the large‐bitwidth and large‐scale NTT tasks in zk‐SNARK. It can be flexibly scaled to different scales of FPGAs and has been equipped in the heterogeneous acceleration system with the help of HLS and OpenCL.
Haixu Zhao, Dong Ding, Feng Wang, Pengcheng Hua, Ning Wang, Qin Wu, Zhilei Chai   +6 more
wiley   +1 more source

JayaX: Jaya algorithm with xor operator for binary optimization

, 2019
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, Gündüz, Mesut, Kıran, Mustafa Servet   +2 more
core   +1 more source

Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module-based technique

, 2022
The home energy management system (HEMS) based on advanced internet of things (IoT) technology has attracted the special attention of engineers in the field of smart grid (SG), which has the task of the demand side management (DSM) and helps to control ...
Bahmanyar, Danial, Razmjooy, Navid, Mirjalili, Seyedali   +2 more
core   +1 more source

Markov Chain Hebbian Learning Algorithm With Ternary Synaptic Units

IEEE Access, 2019
In spite of remarkable progress in machine learning techniques, the state-of-the-art machine learning algorithms often keep machines from real-time learning (online learning) due, in part, to computational complexity in parameter optimization.
Guhyun Kim, Vladimir Kornijcuk, Dohun Kim, Inho Kim, Jaewook Kim, Hyo Cheon Woo, Jihun Kim, Cheol Seong Hwang, Doo Seok Jeong   +8 more
doaj   +1 more source

Woodworking Tool Wear Condition Monitoring during Milling Based on Power Signals and a Particle Swarm Optimization-Back Propagation Neural Network

Applied Sciences, 2021
In the intelligent manufacturing of furniture, the power signal has the characteristics of low cost and high accuracy and is often used as a tool wear condition monitoring signal.
Weihang Dong, Xianqing Xiong, Ying Ma, Xinyi Yue   +3 more
doaj   +1 more source