Results 11 to 20 of about 88,565 (289)

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 ...
Sanjoy Debnath, Wasim Arif, Srimanta Baishya   +2 more
openaire   +2 more sources

Metaheuristic Algorithms in Optimizing Deep Neural Network Model for Software Effort Estimation

IEEE Access, 2021
Effort estimation is the most critical activity for the success of overall solution delivery in software engineering projects. In this context, the paper’s main contributions to the literature on software effort estimation are twofold. First, this
Muhammad Sufyan Khan, Farhana Jabeen, Sanaa Ghouzali, Zobia Rehman, Sheneela Naz, Wadood Abdul   +5 more
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

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

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
doaj   +1 more source

The probabilistic heuristic in local (PHIL) search meta-strategy [PDF]

, 2005
Local search, in either best or first admissible form, generally suffers from poor solution qualities as search cannot be continued beyond locally optimal points. Even multiple start local search strategies can suffer this problem.
A. Ernst, D. Ghosh, F. Glover, G. Reinelt, H. Crauwels, L. Paquete, M. Randall, P. Laarhoven van, P. Mills, R. Battiti, T. Feo   +10 more
core   +1 more source

Spectral and meta-heuristic algorithms for software clustering [PDF]

Journal of Systems and Software, 2005
When large software systems are reverse engineered, one of the views that is produced is the system decomposition hierarchy. This hierarchy shows the system's subsystems, the contents of the subsystems (i.e., modules or other subsystems), and so on. Software clustering tools create the system decomposition automatically or semi-automatically with the ...
Ali Shokoufandeh, Spiros Mancoridis, Trip Denton, Matthew Maycock   +3 more
openaire   +1 more source

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
doaj   +1 more source