Numerical and Evolutionary Optimization

• Format: eBook
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Subjects: History of engineering and technology; averaged Hausdorff distance; basic differential evolution algorithm; Bloat; bulbous bow; crop planning; decision space diversity; differential evolution algorithm; driving events; driving scoring functions; economic crops; evolutionary computation; evolutionary multi-objective optimization; EvoSpace; flexible job shop scheduling problem; genetic algorithm; genetic programming; Genetic Programming; improved differential evolution algorithm; improvement differential evolution algorithm; intelligent transportation systems; IV-optimality criterion; Local Search; local search and jump search; location routing problem; metric measure spaces; mixture experiments; model order reduction; model predictive control; modify differential evolution algorithm; multi-objective optimization; multiobjective optimization; NEAT; numerical simulations; open-source framework; optimal control; optimal solutions; Pareto front; performance indicator; power means; risky driving; rubber; shape morphing; single component constraints; surrogate-based optimization; U-shaped assembly line balancing; vehicle routing problem
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (230 p.)
• ISBN: 9783039218165; 9783039218172; books978-3-03921-817-2
• Access: Open Access

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.