Numerical and Evolutionary Optimization
Material type:
ArticleLanguage: English Publication details: MDPI - Multidisciplinary Digital Publishing Institute 2019Description: 1 electronic resource (230 p.)ISBN: - books978-3-03921-817-2
- 9783039218172
- 9783039218165
- 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
| Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Electronic-Books
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online 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.
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