Results 91 to 100 of about 97,422 (235)

Competition and cooperation in evading threat meta-heuristic algorithm

Mathematics and Computational Sciences
This work introduces an innovative heuristic algorithm named "Competition and Collaboration in Evading Threat (CCET)". Inspired by the escape behavior of animals such as deer, buffalo, sheep, etc., from predators like lions, leopards, tigers, etc., and also drawing parallels with soldiers evading attacks in war zones involving missiles, cannons, tanks,
falahaty nejad, mostafa, eshaghi gordji, majid   +1 more
openaire   +2 more sources

News dissemination prediction based on meta heuristic optimization fuzzy algorithm

Discover Computing
The rapid growth of online platforms and social media has significantly changed how news is disseminated, creating challenges in predicting its reach and impact due to dynamic user behavior and unstructured information flow.
Dandan Zhao
doaj   +1 more source

OPTIMIZING PROJECT TIME-COST-QUALITY BY USING GENETIC ALGORITHMS [PDF]

Project management causes the problem of efficient resource assignment, activity, time constraints and relationships between activities. Traditional scheduling methods like CPM and PERT are incomplete tools to use in practice because they do not consider
Constanta-Nicoleta BODEA, Ileana Ruxandra BADEA   +1 more
core  

Challenges and Opportunities for Applying Meta-Heuristic Methods in Vehicle Routing Problems: A Review

Engineering Proceedings
The Vehicle Routing Problem (VRP) is related to determining the route of several vehicles to distribute goods to customers efficiently and minimize transportation costs or optimize other objective functions.
Wayan Firdaus Mahmudy, Agus Wahyu Widodo, Alfabiet Husien Haikal   +2 more
doaj   +1 more source

Weak convergence of particle swarm optimization

, 2019
Particle swarm optimization algorithm is a stochastic meta-heuristic solving global optimization problems appreciated for its efficacity and simplicity.
Bruned, Vianney, Mas, André, Wlodarczyk, Sylvain   +2 more
core  

Global Optimization strategies for two-mode clustering [PDF]

Two-mode clustering is a relatively new form of clustering that clusters both rows and columns of a data matrix. To do so, a criterion similar to k-means is optimized.
Castilli, W., Groenen, P.J.F., Rosmalen, J.M. van, Trejos, J.   +3 more
core   +1 more source

Momentum search algorithm: a new meta-heuristic optimization algorithm inspired by momentum conservation law [PDF]

, 2020
Mohammad Dehghani, Haidar Samet
openalex   +1 more source

A Honey Bee Algorithm To Solve Quadratic Assignment Problem [PDF]

Journal of Optimization in Industrial Engineering, 2011
Assigning facilities to locations is one of the important problems, which significantly is influence in transportation cost reduction. In this study, we solve quadratic assignment problem (QAP), using a meta-heuristic algorithm with deterministic tasks ...
mohamad mirzazadeh, Gholam Shirdel, behrooz masoumi   +2 more
doaj  

The Application of Meta-Heuristic Algorithms in Automatic Software Test Case Generation [PDF]

, 2015
Maryam Mirzapour Moshizi, Amid Khatibi Bardsiri   +1 more
openalex   +1 more source

Combination of group method of data handling neural network with multi-objective gray wolf optimizer to predict the viscosity of MWCNT-TiO2 -oil SAE50 nanofluid

Case Studies in Thermal Engineering
Background: Nanofluids are the most widely used materials in various engineering fields. They have different properties under different conditions, and predicting their properties requires several experiments.
Hongfei Zhou, Ali B.M. Ali, Hussein Zekri, Hanaa Kadhim Abdulaali, Pardeep Singh Bains, Rohit Sharma, Dilsora Abduvalieva, Mohammadreza Baghoolizadeh, Soheil Salahshour, Mohammad Hashemian   +9 more
doaj   +1 more source