TY - BOOK ID - 61121977 TI - Numerical and Evolutionary Optimization AU - Lara, Adriana AU - Quiroz, Marcela AU - Schütze, Oliver AU - Mezura-Montes, Efrén PY - 2019 SN - 3039218174 3039218166 PB - MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - model predictive control KW - bulbous bow KW - improvement differential evolution algorithm KW - evolutionary multi-objective optimization KW - location routing problem KW - flexible job shop scheduling problem KW - basic differential evolution algorithm KW - metric measure spaces KW - NEAT KW - genetic algorithm KW - multiobjective optimization KW - improved differential evolution algorithm KW - performance indicator KW - rubber KW - averaged Hausdorff distance KW - mixture experiments KW - U-shaped assembly line balancing KW - Genetic Programming KW - Local Search KW - driving events KW - surrogate-based optimization KW - single component constraints KW - crop planning KW - Pareto front KW - numerical simulations KW - shape morphing KW - genetic programming KW - economic crops KW - local search and jump search KW - model order reduction KW - optimal solutions KW - EvoSpace KW - risky driving KW - intelligent transportation systems KW - optimal control KW - IV-optimality criterion KW - Bloat KW - decision space diversity KW - modify differential evolution algorithm KW - power means KW - driving scoring functions KW - open-source framework KW - evolutionary computation KW - differential evolution algorithm KW - vehicle routing problem KW - multi-objective optimization UR - https://www.unicat.be/uniCat?func=search&query=sysid:61121977 AB - 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 the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications. ER -