Titlebook: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications; Serdar Carbas,Abdurrahim Toktas,Deniz Ustun Book 2021

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Designing Fuzzy Controllers for Frame Structures Based on Ground Motion Prediction Using Grasshoppergular buildings can prevent damages in structural members during earthquakes. Fuzzy logic controller is an effective control algorithm that is mostly formulated regarding the human knowledge and expertise. This chapter concentrates on the optimum design of fuzzy logic controllers implemented in a 20

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Optimization and Artificial Neural Network Models for Reinforced Concrete Membersbles. For that reason, artificial intelligence methods can be used to develop prediction models for optimum design variables of engineering problem. For this purpose, sets of optimum results are needed to be used in machine learning training. Metaheuristic methods are employed in optimization, and a

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Metaheuristic-Based Structural Control Methods and Comparison of Applicationsthe control must be feasible for application proposals and cost efficiency performance. For that reason, structural control methods are still an active research area by optimum tuning of system parameters. The tuning of control systems is the most essential subject in performance of control systems.

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An Extensive Review of Charged System Search Algorithm for Engineering Optimization Applicationsalgorithms are one of the recently proposed metaheuristic optimization algorithms that are formulated based on some principles of mechanics and physics that mimics the Newtonian and Coulomb laws of mechanics and electrostatics to formulate a search technique. In this book chapter, an extensive revie

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Artificial Bee Colony Algorithm and Its Application to Content Filtering in Digital Communicationlligent swarm performs its tasks by optimizing the sources and responding to the environmental changes adaptively. One of the intelligent swarms is a honeybee colony in which the tasks are assigned to the bees in the swarm according to the hive conditions. The task division and self-organization ski

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