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Aquila Optimizer: A novel meta-heuristic optimization algorithm

Computers & industrial engineering, 2021
This paper proposes a novel population-based optimization method, called Aquila Optimizer (AO), which is inspired by the Aquila’s behaviors in nature during the process of catching the prey. Hence, the optimization procedures of the proposed AO algorithm
L. Abualigah   +5 more
semanticscholar   +1 more source

A hybrid meta-heuristic algorithm for scientific workflow scheduling in heterogeneous distributed computing systems

Engineering applications of artificial intelligence, 2020
Cloud computing has attracted great attentions in research community because of its ubiquitous, unlimited computing resources, low cost, and flexibility owing to virtualization technology.
M. H. Shirvani
semanticscholar   +1 more source

Local search and meta-heuristic algorithms

2020
Suboptimal schedules for intractable time-dependent scheduling problems may be found by using various algorithms. In this chapter, closing the fifth part of the book, we consider local search and meta-heuristic algorithms.
openaire   +1 more source

Genetic Algorithm and Other Meta-Heuristics

2005
Genetic algorithms have been applied in solving various types of large-scale, NP-hard optimization problems. Many researchers have been investigating its global convergence properties using Schema Theory, Markov Chain, etc. A more realistic approach, however, is to estimate the probability of success in finding the global optimal solution within a ...
openaire   +2 more sources

A new energy-aware tasks scheduling approach in fog computing using hybrid meta-heuristic algorithm

J. Parallel Distributed Comput., 2020
In recent years, large computational problems have beensolved by the distributed environment in which applications are executed in parallel. Also, lately, fog computing or edge computing as a new environment is applied to collect data from the devices ...
Pejman Hosseinioun   +3 more
semanticscholar   +1 more source

Meta Heuristic Algorithm

Metaheuristic algorithms represent a key area of optimization research that generates interest for many academicians and researchers in today's technology landscape. Researchers have been using these methods as a problem-solving approach for many decades when applied to combinatorial optimization problems, which has now grown into a significant ...
Arshiya Begum, Asfia Sabahath
openaire   +1 more source

Parking recommendation with meta-heuristic algorithms

Theoretical and Natural Science
Due to the exponential growth of cars in urban areas, parking problems have become a significant concern. Addressing this issue requires efficient methods for locating available parking spaces, enhancing the overall experience for drivers. This paper introduces a parking lot recommendation model leveraging meta-heuristic algorithms to generate a list ...
Siyuan Wu, Tingting Yang
openaire   +1 more source

Introduction to Meta-heuristic Optimization Algorithms

2019
This chapter begins with a concise definition of the optimization problem and its parameters, along with a mathematical description of an optimization problem with continuous and discrete decision-making variables whose objective functions are employed in a standard form of an optimization problem along with equality and inequality constraints ...
Mohammad Kiani-Moghaddam   +2 more
openaire   +1 more source

A novel meta-heuristic algorithm: Dynamic Virtual Bats Algorithm

Information Sciences, 2016
Nature-inspired algorithms are a very important part of meta-heuristics. A novel nature inspired algorithm called the Dynamic Virtual Bats Algorithm (DVBA) is presented in this paper. DVBA is inspired by a bat's ability to manipulate frequency and wavelength of the emitted sound waves when hunting.
Topal, Ali Osman, Altun, Oğuz
openaire   +2 more sources

Playground Algorithm as a New Meta-heuristic Optimization Algorithm

2019 XXVII International Conference on Information, Communication and Automation Technologies (ICAT), 2019
This paper presents a new meta-heuristic algorithm called Playground algorithm. The Playground algorithm is designed to model social interaction amongst children, and the mechanisms and operators of the algorithm are inspired by the model of child interaction and engagement in games during a child's stay at the playground.
Kemal Altwlkany, Samim Konjicija
openaire   +1 more source

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