Numerical and Evolutionary Optimization

This book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on th...

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Detalles Bibliográficos
Otros Autores:	Lara, Adriana (auth), Quiroz, Marcela, Schütze, Oliver, Mezura-Montes, Efrén
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2019
Materias:	model predictive control bulbous bow improvement differential evolution algorithm evolutionary multi-objective optimization location routing problem flexible job shop scheduling problem basic differential evolution algorithm metric measure spaces NEAT genetic algorithm multiobjective optimization improved differential evolution algorithm performance indicator rubber averaged Hausdorff distance mixture experiments U-shaped assembly line balancing Genetic Programming Local Search driving events surrogate-based optimization single component constraints crop planning Pareto front numerical simulations shape morphing genetic programming economic crops local search and jump search model order reduction optimal solutions EvoSpace risky driving intelligent transportation systems optimal control IV-optimality criterion Bloat decision space diversity modify differential evolution algorithm power means driving scoring functions open-source framework evolutionary computation differential evolution algorithm vehicle routing problem multi-objective optimization
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009433815006719