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...
| Format: | eBook |
|---|---|
| Language: | English |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2019
|
| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
| LEADER | 04066namaa2200961uu 4500 | ||
|---|---|---|---|
| 001 | doab54914 | ||
| 003 | oapen | ||
| 005 | 20210211 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 210211s2019 xx |||||o ||| 0|eng d | ||
| 020 | |a 9783039218165 | ||
| 020 | |a 9783039218172 | ||
| 020 | |a books978-3-03921-817-2 | ||
| 024 | 7 | |a 10.3390/books978-3-03921-817-2 |2 doi | |
| 040 | |a oapen |c oapen | ||
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a TBX |2 bicssc | |
| 720 | 1 | |a Lara, Adriana |4 aut | |
| 720 | 1 | |a Mezura-Montes, Efrén |4 aut | |
| 720 | 1 | |a Quiroz, Marcela |4 aut | |
| 720 | 1 | |a Schütze, Oliver |4 aut | |
| 245 | 0 | 0 | |a Numerical and Evolutionary Optimization |
| 260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2019 | ||
| 300 | |a 1 online resource (230 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |u https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a History of engineering and technology |2 bicssc | |
| 653 | |a averaged Hausdorff distance | ||
| 653 | |a basic differential evolution algorithm | ||
| 653 | |a Bloat | ||
| 653 | |a bulbous bow | ||
| 653 | |a crop planning | ||
| 653 | |a decision space diversity | ||
| 653 | |a differential evolution algorithm | ||
| 653 | |a driving events | ||
| 653 | |a driving scoring functions | ||
| 653 | |a economic crops | ||
| 653 | |a evolutionary computation | ||
| 653 | |a evolutionary multi-objective optimization | ||
| 653 | |a EvoSpace | ||
| 653 | |a flexible job shop scheduling problem | ||
| 653 | |a genetic algorithm | ||
| 653 | |a genetic programming | ||
| 653 | |a Genetic Programming | ||
| 653 | |a improved differential evolution algorithm | ||
| 653 | |a improvement differential evolution algorithm | ||
| 653 | |a intelligent transportation systems | ||
| 653 | |a IV-optimality criterion | ||
| 653 | |a Local Search | ||
| 653 | |a local search and jump search | ||
| 653 | |a location routing problem | ||
| 653 | |a metric measure spaces | ||
| 653 | |a mixture experiments | ||
| 653 | |a model order reduction | ||
| 653 | |a model predictive control | ||
| 653 | |a modify differential evolution algorithm | ||
| 653 | |a multi-objective optimization | ||
| 653 | |a multiobjective optimization | ||
| 653 | |a NEAT | ||
| 653 | |a numerical simulations | ||
| 653 | |a open-source framework | ||
| 653 | |a optimal control | ||
| 653 | |a optimal solutions | ||
| 653 | |a Pareto front | ||
| 653 | |a performance indicator | ||
| 653 | |a power means | ||
| 653 | |a risky driving | ||
| 653 | |a rubber | ||
| 653 | |a shape morphing | ||
| 653 | |a single component constraints | ||
| 653 | |a surrogate-based optimization | ||
| 653 | |a U-shaped assembly line balancing | ||
| 653 | |a vehicle routing problem | ||
| 793 | 0 | |a DOAB Library. | |
| 856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/54914 |7 0 |z Open Access: DOAB: description of the publication |
| 856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/1812 |7 0 |z Open Access: DOAB, download the publication |