Applied Evolutionary Algorithms for Engineers Using Python

Applied Evolutionary Algorithms for Engi

📁 Applied Evolutionary Algorithms for Engineers using Python

✍ Leonardo Azevedo Scardua 📂 Library 📅 2021 🏛 CRC Press 🌐 English

Applied Evolutionary Algorithms for Engineers with Python is written for students, scientists and engineers who need to apply evolutionary algorithms to practical optimization problems. The presentation of the theoretical background is complemented with didactical Python implementations of evolution

Optimization Using Evolutionary Algorith

📁 Optimization Using Evolutionary Algorithms and Metaheuristics-Applications in Engineering

✍ Kaushik Kumar (Editor); J. Paulo Davim (Editor) 📂 Library 📅 2019 🏛 CRC Press

<p>Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation cap

Evolutionary Algorithms in Engineering A

📁 Evolutionary Algorithms in Engineering Applications

✍ Dipankar Dasgupta, Zbigniew Michalewicz (auth.), Dipankar Dasgupta, Zbigniew Mic 📂 Library 📅 1997 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associat

Optimization Using Evolutionary Algorith

📁 Optimization Using Evolutionary Algorithms and Metaheuristics: Applications in Engineering (Science, Technology, and Management)

✍ Kaushik Kumar (editor), J. Paulo Davim (editor) 📂 Library 📅 2019 🏛 CRC Press 🌐 English

<p>Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation cap

Practical Swarm Intelligence in Python U

📁 Practical Swarm Intelligence in Python Using. Swarm Intelligence and Evolutionary Algorithms to Solve Problems in Engineering and Science

✍ Ronald T. Kneusel, Ph.D. 📂 Library 📅 2021 🌐 English

Evolutionary Data Clustering: Algorithms

📁 Evolutionary Data Clustering: Algorithms and Applications (Algorithms for Intelligent Systems)

✍ Ibrahim Aljarah (editor), Hossam Faris (editor), Seyedali Mirjalili (editor) 📂 Library 📅 2021 🏛 Springer 🌐 English

<span>This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the boo