Simulated Evolution and Learning

Discover the groundbreaking insights in "Simulated Evolution and Learning" by Yuhui Shi, published by Springer International Publishing AG in 2017. This comprehensive volume presents the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL 2017), which took place in Shenzhen, China. Spanning an impressive 1041 pages, the book delves into key topics including evolutionary optimisation, multiobjective optimisation, and machine learning. Designed for researchers and practitioners in computer science, this first edition is an invaluable resource for those interested in the intersections of computer simulation and mathematical optimization. Enhance your understanding of evolutionary programming and stay at the forefront of this rapidly evolving field with Yuhui Shi's expert compilation.