This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications.
This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches.
This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.
Developments on Metaheuristic-Based Optimization in Structural Engineering.- Current Trends in the Optimization Approaches for Optimal Structural Control.- Statistical Evaluation of Metaheuristic Algorithm: An Optimum Reinforced Concrete T-Beam Problem.
Inhaltsverzeichnis
Developments on Metaheuristic-Based Optimization in Structural Engineering.- Current Trends in the Optimization Approaches for Optimal Structural Control.- Statistical Evaluation of Metaheuristic Algorithm: An Optimum Reinforced Concrete T-Beam Problem.
Klappentext
This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches.rnThis book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.
rn
Summarizes the latest developments in optimization and metaheuristic algorithms with emphasis on applications in structural engineering
Presents artificial intelligence and machine learning methods to predict optimum results by skipping long optimization processes
Introduces the fundamentals of the metaheuristic methods, their implementations, and applications so that undergraduates and graduates in engineering can gain good understanding of materials and contents
