Nature-inspired metaheuristic algori...
Carbas, Serdar.

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  • Nature-inspired metaheuristic algorithms for engineering optimization applications
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Nature-inspired metaheuristic algorithms for engineering optimization applications/ edited by Serdar Carbas, Abdurrahim Toktas, Deniz Ustun.
    其他作者: Carbas, Serdar.
    出版者: Singapore :Springer Singapore : : 2021.,
    面頁冊數: xii, 404 p. :ill., digital ;24 cm.
    內容註: Introduction and Overview: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications -- PART 1: Civil and Structural Engineering -- Harmony Search Algorithm for Structural Engineering Problems -- Teaching Learning Based Optimum Design of Transmission Tower Structures -- Modified Artificial Bee Colony Algorithm for Sizing Optimization of Truss Structures -- Electrostatic Discharge Algorithm for Optimum Design of Real Size Truss Structures -- Solving of Distinct Engineering Optimization Problems using Metaheuristic Algorithms -- The Design of Trapezoidal Corrugated Web Beams using Firefly Method -- Designing Fuzzy Controllers for Frame Structures Based on Ground Motion Prediction using Grasshopper Optimization Algorithm; A Case Study of Tabriz, Iran -- Optimization and Artificial Neural Network Models for Reinforced Concrete Members -- Statistical Investigation of the Robustness for the Optimization Algorithms -- Optimum Design of Beams with Varying Cross-Section by Using Application Interface -- Metaheuristic-based Structural Control Methods and Comparison of Applications -- Evolutionary Structural Optimization - A Trial Review -- An Extensive Review of Charged System Search Algorithm for Engineering Optimization Applications -- PART 2: Electrical and Electronics, Computer, and Communication Engineering -- Artificial Bee Colony Algorithm and Its Application to Content Filtering in Digital Communication -- Multi-objective Design of Multilayer Microwave Dielectric Filters using Artificial Bee Colony Algorithm -- Multi-objective Sparse Signal Reconstruction in Compressed Sensing -- Optimal Allocation of Flexible Alternative Current Transmission Systems: An Application of Particle Swarm Optimization.
    Contained By: Springer Nature eBook
    標題: Nature-inspired algorithms. -
    電子資源: https://doi.org/10.1007/978-981-33-6773-9
    ISBN: 9789813367739
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W9401108 電子資源 11.線上閱覽_V 電子書 EB QA76.9.N37 N38 2021 一般使用(Normal) 在架 0
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