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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| Year of Publication: | 2019 |
| Language: | English |
| Physical Description: | 1 electronic resource (230 p.) |
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| 100 | 1 | |a Lara, Adriana |4 auth | |
| 245 | 1 | 0 | |a Numerical and Evolutionary Optimization |
| 260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2019 | ||
| 300 | |a 1 electronic resource (230 p.) | ||
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| 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. | ||
| 546 | |a English | ||
| 653 | |a model predictive control | ||
| 653 | |a bulbous bow | ||
| 653 | |a improvement differential evolution algorithm | ||
| 653 | |a evolutionary multi-objective optimization | ||
| 653 | |a location routing problem | ||
| 653 | |a flexible job shop scheduling problem | ||
| 653 | |a basic differential evolution algorithm | ||
| 653 | |a metric measure spaces | ||
| 653 | |a NEAT | ||
| 653 | |a genetic algorithm | ||
| 653 | |a multiobjective optimization | ||
| 653 | |a improved differential evolution algorithm | ||
| 653 | |a performance indicator | ||
| 653 | |a rubber | ||
| 653 | |a averaged Hausdorff distance | ||
| 653 | |a mixture experiments | ||
| 653 | |a U-shaped assembly line balancing | ||
| 653 | |a Genetic Programming | ||
| 653 | |a Local Search | ||
| 653 | |a driving events | ||
| 653 | |a surrogate-based optimization | ||
| 653 | |a single component constraints | ||
| 653 | |a crop planning | ||
| 653 | |a Pareto front | ||
| 653 | |a numerical simulations | ||
| 653 | |a shape morphing | ||
| 653 | |a genetic programming | ||
| 653 | |a economic crops | ||
| 653 | |a local search and jump search | ||
| 653 | |a model order reduction | ||
| 653 | |a optimal solutions | ||
| 653 | |a EvoSpace | ||
| 653 | |a risky driving | ||
| 653 | |a intelligent transportation systems | ||
| 653 | |a optimal control | ||
| 653 | |a IV-optimality criterion | ||
| 653 | |a Bloat | ||
| 653 | |a decision space diversity | ||
| 653 | |a modify differential evolution algorithm | ||
| 653 | |a power means | ||
| 653 | |a driving scoring functions | ||
| 653 | |a open-source framework | ||
| 653 | |a evolutionary computation | ||
| 653 | |a differential evolution algorithm | ||
| 653 | |a vehicle routing problem | ||
| 653 | |a multi-objective optimization | ||
| 776 | |z 3-03921-816-6 | ||
| 700 | 1 | |a Quiroz, Marcela |4 auth | |
| 700 | 1 | |a Schütze, Oliver |4 auth | |
| 700 | 1 | |a Mezura-Montes, Efrén |4 auth | |
| 906 | |a BOOK | ||
| ADM | |b 2023-12-15 05:54:56 Europe/Vienna |f system |c marc21 |a 2020-02-01 22:26:53 Europe/Vienna |g false | ||
| AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338740920004498&Force_direct=true |Z 5338740920004498 |b Available |8 5338740920004498 | ||