Results 21 to 30 of about 97,422 (235)

A Heuristic Construction Neural Network Method for the Time-Dependent Agile Earth Observation Satellite Scheduling Problem

open access: yesMathematics, 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   +4 more
doaj   +1 more source

A quick Heuristic and a general search algorithm for traveling salesman problem [PDF]

open access: yesE3S Web of Conferences, 2022
This paper puts forward a constructive heuristic algorithm called the method of inserting the minimum neighbor edge from outside to the center (IMNEFOTC) that can be applied to solve large-scale and ultra-large-scale travelling salesman problems. Through
Wang Chao, Wang Deguang, Jin Chun
doaj   +1 more source

Review of Quantum-inspired Metaheuristic Algorithms and Its Applications [PDF]

open access: yesJisuanji 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

A Meta-Heuristic-Based Approach for Qos-Aware Service Composition

open access: yesIEEE Access, 2020
Recently, with the rapid increase in the number of web services, QoS-aware Web Service Composition(QWSC) has become a popular topic in both industry and academia. Meta-heuristic algorithm, as an effective way to solve classical optimization problems, has
Chenyang Li, Jun Li, Huiling Chen
doaj   +1 more source

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

open access: yesJournal 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   +3 more
openaire   +1 more source

Compression of Digital Image based on Hybrid Heuristic Algorithm [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2012
In this research paper a system has been proposed to be used in data compression of digital image  based on two hybrid intelligent Algorithms. In the first algorithm which is now as  Meta Heuristic Genetic Compression Algorithm (MGCA) the characteristic ...
Fawziya Ramo, Yaser Al Deen
doaj   +1 more source

Compress Digital Image based on Genetic Meta-Heuristic algorithm [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2013
In this research a propose method has be used to compression Data of digital image  based on one of Meta Heuristic Algorithm. Genetic Meta Heuristic has been applied to obtain effective data and then performed compression operation using Vector ...
Fawziya Ramo, Yaser Al Deen
doaj   +1 more source

Application of predator-prey optimization for task scheduling in cloud computing [PDF]

open access: yesJournal of Mahani Mathematical Research
Cloud computing environments require scheduling to allocate resources efficiently and ensure optimal performance. It is possible to maximize resource utilization and minimize execution time by scheduling cloud systems effectively.
Zahra Jalali Khalil Abadi   +3 more
doaj   +1 more source

Novel Heuristic Algorithm & its Application for Reliability Optimization

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2023
Heuristic algorithms are practical, easy to implement, and work fast to provide short-term, feasible solutions for any kind of problem within economical budgets as compared to other meta-heuristic algorithms.
Tripti Dahiya   +4 more
doaj   +1 more source

A parallel implementation of ant colony optimization [PDF]

open access: yes, 2002
Ant Colony Optimization is a relatively new class of meta-heuristic search techniques for optimization problems. As it is a population-based technique that examines numerous solution options at each step of the algorithm, there are a variety of ...
Lewis, A., Randall, M
core   +1 more source

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