Results 31 to 40 of about 256,802 (314)
Application of predator-prey optimization for task scheduling in cloud computing [PDF]
Journal of Mahani Mathematical ResearchCloud 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
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A parallel implementation of ant colony optimization [PDF]
, 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
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Novel Heuristic Algorithm & its Application for Reliability Optimization
International 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
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Calico Salmon Migration Algorithm: A Novel Meta-Heuristic Optimization Algorithm
2023 International Conference on New Trends in Computational Intelligence (NTCI), 2023 A novel population-based optimization method is proposed in this paper, the Calico Salmon Migration Algorithm (CSMA), which is inspired by the natural behavior of calico salmon during their migration for mating. The CSMA optimization process comprises four stages: selecting the search space by swimming into the river, expanding the search space from ...
Min, Chao +4 more
openaire +2 more sources
Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions
Journal of Mathematical Sciences and Modelling, 2022 Meta-heuristic optimization algorithms are used in many application areas to solve optimization problems. In recent years, meta-heuristic optimization algorithms have gained importance over deterministic search algorithms in solving optimization problems.
Mahmut Dirik
doaj +1 more source
Optimization of machining processes using pattern search algorithm [PDF]
, 2014 Optimization of machining processes not only increases machining efficiency and economics, but also the end product quality. In recent years, among the traditional optimization methods, stochastic direct search optimization methods such as meta-heuristic
Miloš Madić, Miroslav Radovanović
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IEEE Access, 2022 This paper proposes a Sine Cosine hybrid optimization algorithm with Modified Whale Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA to solve problems with continuous and binary decision variables.
El-sayed M. El-kenawy +8 more
semanticscholar +1 more source
Nature-inspired optimization algorithms in knapsack problem: A review [PDF]
المجلة العراقية للعلوم الاحصائية, 2019 Meta-heuristic algorithms have become an arising field of research in recent years. Some of these algorithms have proved to be efficient in solving combinatorial optimization problems, particularly knapsack problem.
Ghalya Tawfeeq Basheer, Zakariya Algamal
doaj +1 more source
IEEE Access, 2022 This paper proposes a new meta-heuristic optimization algorithm, namely Mud Ring Algorithm (MRA) that mimics the mud ring feeding behaviour of bottlenose dolphins in the Atlantic coast of Florida.
Abeer S. Desuky +4 more
doaj +1 more source
International Journal of Production Research, 2021 Additive manufacturing (AM) has been recognised as a promising technology under the context of Industry 4.0, which is reshaping manufacturing paradigms.
Mohammad Rohaninejad +4 more
semanticscholar +1 more source