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Frontiers in Neuroinformatics, 2023 IntroductionRegression and classification are two of the most fundamental and significant areas of machine learning.MethodsIn this paper, a radial basis function neural network (RBFNN) based on an improved black widow optimization algorithm (IBWO) has ...
Hui Liu +9 more
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An Overview of the Concepts, Classifications, and Methods of Population Initialization in Metaheuristic Algorithms [PDF]
Journal of Advances in Computer Engineering and Technology, 2021 Metaheuristic algorithms are typically population-based random search techniques. The general framework of a metaheuristic algorithm consisting of its main parts.
Mohammad Hassanzadeh, farshid keynia
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An Enhanced Discrete Symbiotic Organism Search Algorithm for Optimal Task Scheduling in the Cloud
Algorithms, 2021 Recently, cloud computing has begun to experience tremendous growth because government agencies and private organisations are migrating to the cloud environment.
Suleiman Sa’ad +4 more
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Minimum weight design of truss structure via force method and Jaya algorithm” [PDF]
مهندسی مکانیک شریف, 2021 This research aims to minimize the weight of truss structures using force method formulation as a structural analyzer and Jaya algorithm as an optimizer tool.
A. Barzegari +2 more
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An Adaptive Tunicate Swarm Algorithm for Optimization of Shallow Foundation
IEEE Access, 2022 This paper aims to introduce an adaptive metaheuristic algorithm based on tunicate swarm optimization (TSA) for effectively solving global optimization problems and the optimum design of a shallow spread foundation.
Amirbahador Arabali +4 more
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Ant Colony Optimization with Warm-Up
Algorithms, 2021 The Ant Colony Optimization (ACO) is a probabilistic technique inspired by the behavior of ants for solving computational problems that may be reduced to finding the best path through a graph.
Mattia Neroni
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IEEE Access, 2023 An improved hybrid grey wolf optimization algorithm (IHGWO) is proposed to solve the problem of population diversity, imbalance of exploration and development capabilities, and premature convergence.
Chuanjing Zhang +3 more
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The Pheromone-Based Harmony Search Algorithm for the Asymmetric Traveling Salesman Problem
Applied Sciences, 2020 This paper presents a modification of the Harmony Search algorithm (HS) adjusted to an effective solving of instances of the Asymmetric Traveling Salesman Problem.
Krzysztof Szwarc, Urszula Boryczka
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Lemurs Optimizer: A New Metaheuristic Algorithm for Global Optimization
Applied Sciences, 2022 The Lemur Optimizer (LO) is a novel nature-inspired algorithm we propose in this paper. This algorithm’s primary inspirations are based on two pillars of lemur behavior: leap up and dance hub.
Ammar Kamal Abasi +9 more
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Systems, 2023 The Curriculum Sequencing (CS) problem is a challenging task to tackle in the field of online teaching and learning system development. The current methods of education management might still possess certain drawbacks that would cause ineffectiveness and
Xiaojing Sheng +3 more
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