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Genetic Algorithm and Other Meta-Heuristics
2005Genetic 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 ...
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Geomechanics and Geoengineering, 2021
Soil water content characteristics included field capacity (FC) and permanent wilting point (PWP) are key soil indicators to study permeability, soil water retention capacity, drainage, irrigation, plant water stress and solute movement.
M. Navidi +2 more
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Soil water content characteristics included field capacity (FC) and permanent wilting point (PWP) are key soil indicators to study permeability, soil water retention capacity, drainage, irrigation, plant water stress and solute movement.
M. Navidi +2 more
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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
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Arshiya Begum, Asfia Sabahath
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Introduction to Meta-heuristic Optimization Algorithms
2019This 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
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A novel meta-heuristic algorithm: Dynamic Virtual Bats Algorithm
Information Sciences, 2016Nature-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
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Playground Algorithm as a New Meta-heuristic Optimization Algorithm
2019 XXVII International Conference on Information, Communication and Automation Technologies (ICAT), 2019This 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
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Metrics for meta-heuristic algorithm evaluation
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004By adopting best practices from quality management in industry, metrics as well as test cycle are proposed to evaluate the performance of meta-heuristic algorithm.
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Nature Inspired Meta-heuristic Optimization Algorithms Capitalized
2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 2020Nature is an incredible and gigantic wellspring of inspiration for taking care of intense and complex issues in software engineering since it shows very shifted, dynamic, hearty, perplexing and enchanting phenomenon. Nature propelled calculations are meta heuristics that ridicules the nature for taking care of advancement issues opening another age in ...
V. Sureka +3 more
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Meta-Heuristic Algorithms Based Multi-Level Thresholding
2019 27th Signal Processing and Communications Applications Conference (SIU), 2019Thresholding is a very important stage in computer vision applications. An ideal single thresholding algorithm is not available for all environments. Multi-level thresholding in environments with multiple objects is constantly being developed for interpretation of images. Kapur entropy and Otsu approaches are among the most successful algorithms in the
Busranur Kucukugurlu, Eyup Gedikli
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Efficient training of two ANNs using four meta-heuristic algorithms for predicting the FRP strength
Structures, 2023A. Kaveh, Neda Khavaninzadeh
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