Results 21 to 30 of about 87,787 (275)

A Hybrid Optimization Framework with Dynamic Transition Scheme for Large-Scale Portfolio Management

Algorithms, 2022
Meta-heuristic algorithms have successfully solved many real-world problems in recent years. Inspired by different natural phenomena, the algorithms with special search mechanisms can be good at tackling certain problems.
Zhenglong Li, Vincent Tam
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Buyer Inspired Meta-Heuristic Optimization Algorithm [PDF]

Open Computer Science, 2020
AbstractNature inspired swarm based meta-heuristic optimization technique is getting considerable attention and established to be very competitive with evolution based and physical based algorithms. This paper proposes a novel Buyer Inspired Meta-heuristic optimization Algorithm (BIMA) inspired form the social behaviour of human being in searching and ...
Debnath Sanjoy, Arif Wasim, Baishya Srimanta   +2 more
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A Hybrid Artificial Grasshopper Optimization (HAGOA) Meta-Heuristic Approach: A Hybrid Optimizer For Discover the Global Optimum in Given Search Space [PDF]

International Journal of Mathematical, Engineering and Management Sciences, 2019
Meta-heuristic algorithms are used to get optimal solutions in different engineering branches. Here four types of meta-heuristics algorithms are used such as evolutionary algorithms, swarm-based algorithms, physics based algorithms and human based ...
Brahm Prakash Dahiya, Shaveta Rani, Paramjeet Singh   +2 more
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A Heuristic Construction Neural Network Method for the Time-Dependent Agile Earth Observation Satellite Scheduling Problem

Mathematics, 2022
The agile earth observation satellite scheduling problem (AEOSSP), as a time-dependent and arduous combinatorial optimization problem, has been intensively studied in the past decades.
Jiawei Chen, Ming Chen, Jun Wen, Lei He, Xiaolu Liu   +4 more
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An Opposition-Based Chaotic Salp Swarm Algorithm for Global Optimization

IEEE Access, 2020
The salp swarm algorithm (SSA) is a bio-heuristic optimization algorithm proposed in 2017. It has been proved that SSA has competitive results compared to several other well-known meta-heuristic algorithms on various optimization problem.
Xiaoqiang Zhao, Fan Yang, Yazhou Han, Yanpeng Cui   +3 more
doaj   +1 more source

Eurasian oystercatcher optimiser: New meta-heuristic algorithm [PDF]

Journal of Intelligent Systems, 2022
AbstractModern optimisation is increasingly relying on meta-heuristic methods. This study presents a new meta-heuristic optimisation algorithm called Eurasian oystercatcher optimiser (EOO). The EOO algorithm mimics food behaviour of Eurasian oystercatcher (EO) in searching for mussels.
Salim Ahmad, Jummar Wisam K., Jasim Farah Maath, Yousif Mohammed   +3 more
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Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data

Computers, 2022
Feature Selection in High Dimensional Space is a combinatory optimization problem with an NP-hard nature. Meta-heuristic searching with embedding information theory-based criteria in the fitness function for selecting the relevant features is used widely
Tara Othman Qadir Saraf, Norfaiza Fuad, Nik Shahidah Afifi Md Taujuddin   +2 more
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Review of Quantum-inspired Metaheuristic Algorithms and Its Applications [PDF]

Jisuanji kexue
The quantum meta heuristic algorithm is developed by applying quantum computing to the meta-heuristic algorithm.This kind of algorithm is good at solving combinatorial and numerical optimization problems,and has the characteristics of acce-lerated ...
RUAN Ning, LI Chun, MA Haoyue, JIA Yi, LI Tao
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Accurate Solar Cell Modeling via Genetic Neural Network-Based Meta-Heuristic Algorithms

Frontiers in Energy Research, 2021
Accurate solar cell modeling is essential for reliable performance evaluation and prediction, real-time control, and maximum power harvest of photovoltaic (PV) systems.
Long Wang, Zhuo Chen, Yinyuan Guo, Weidong Hu, Xucheng Chang, Peng Wu, Cong Han, Jianwei Li   +7 more
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Efficiency of Meta Heuristic Optimization Algorithms

International Journal of Advanced Research in Science, Communication and Technology, 2022
A meta-heuristic is a lot of algorithmic ideas that can be utilized to characterize heuristic strategies material to a wide arrangement of various issues. – A Meta heuristic can be viewed as a general broadly useful heuristic technique toward promising locales of the search space containing top notch arrangements.
null Divvela Srinivasa Rao, null I. M. V. Krishna   +1 more
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