A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Metaheuristics Methods
https://orcid.org/https://orcid.org/0000-0001-9106-0313
This book chapter provides an overview of ten recently developed metaheuristic optimization algorithms, including the dragonfly algorithm, multiverse optimizer, sine cosine algorithm, whale optimization algorithm, antlion optimizer, heat transfer search, passing vehicle search, symbiotic organisms search, grey wolf optimizer, and teaching-learning-based optimization. Each algorithm has unique search mechanisms, and their impact on different applications is difficult to predict. Therefore, evaluating these algorithms in various domains is essential to determine their efficacy for specific problems. This chapter serves as a valuable resource for researchers and practitioners interested in exploring these algorithms for solving challenging optimization problems. The MATLAB codes of these metaheuristics are also given in this book.
Metaheuristics Methods
https://orcid.org/https://orcid.org/0000-0001-9106-0313
This book chapter provides an overview of ten recently developed metaheuristic optimization algorithms, including the dragonfly algorithm, multiverse optimizer, sine cosine algorithm, whale optimization algorithm, antlion optimizer, heat transfer search, passing vehicle search, symbiotic organisms search, grey wolf optimizer, and teaching-learning-based optimization. Each algorithm has unique search mechanisms, and their impact on different applications is difficult to predict. Therefore, evaluating these algorithms in various domains is essential to determine their efficacy for specific problems. This chapter serves as a valuable resource for researchers and practitioners interested in exploring these algorithms for solving challenging optimization problems. The MATLAB codes of these metaheuristics are also given in this book.
Metaheuristics Methods
https://orcid.org/https://orcid.org/0000-0001-9106-0313
This book chapter provides an overview of ten recently developed metaheuristic optimization algorithms, including the dragonfly algorithm, multiverse optimizer, sine cosine algorithm, whale optimization algorithm, antlion optimizer, heat transfer search, passing vehicle search, symbiotic organisms search, grey wolf optimizer, and teaching-learning-based optimization. Each algorithm has unique search mechanisms, and their impact on different applications is difficult to predict. Therefore, evaluating these algorithms in various domains is essential to determine their efficacy for specific problems. This chapter serves as a valuable resource for researchers and practitioners interested in exploring these algorithms for solving challenging optimization problems. The MATLAB codes of these metaheuristics are also given in this book.
Metaheuristics Methods
Savsani, Vimal (author) / Tejani, Ghanshyam (author) / Patel, Vivek (author)
Truss Optimization ; Chapter: 3 ; 37-55
2024-02-17
19 pages
Article/Chapter (Book)
Electronic Resource
English
Metaheuristic , Dragonfly algorithm , Multi-verse optimizer , Sine cosine algorithm , Whale optimization algorithm , Ant lion optimizer , Heat transfer search , Passing vehicle search , Symbiotic organisms search , Grey wolf optimizer , Teaching-learning based optimization Engineering , Mechanical Statics and Structures , Light Construction, Steel Construction, Timber Construction , Solid Construction , Structural Materials , Civil Engineering
MATLAB Codes of Metaheuristics Methods
| Springer Verlag | 2024
| Wiley | 2017
Prioritizing Interrelated Road Projects Using Metaheuristics
| Online Contents | 2016
Metaheuristics in Reliability and Risk Analysis
| ASCE | 2018
Prioritizing Interrelated Road Projects Using Metaheuristics
| Online Contents | 2016