NEO 2016 results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico /
This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO 2016) workshop held in September 2016 in Tlalnepantla, Mexico. The development of powerful search and optimization techniques is of great importance in today's world and requires researchers...
| Corporate Authors: | Numerical and Evolutionary Optimization Workshop Tlalnepantla de Baz, Mexico) Tlalnepantla, Mexico) |
|---|---|
| Other Authors: | Numerical and Evolutionary Optimization Workshop, Maldonado, Yazmin,, Trujillo, Leonardo,, Schütze, Oliver (Computer scientist), Riccardi, Annalisa,, Vasile, Massimiliano,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2018]
|
| Physical Description: |
1 online resource (xiii, 282 pages) : illustrations (some color). |
| Series: |
Studies in computational intelligence ;
v. 731. |
| Subjects: |
Table of Contents:
- Part I: Smart Cities
- Defensive Driving Strategy and Control for Autonomous Ground Vehicle in Mixed Traf{uFB01}c
- Augmenting the LSA Technique to Evaluate Ubicomp Environments
- Mixed Integer Programming Formulation for the Energy-Ef{uFB01}cient Train Timetables Problem
- Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview
- Part II: Search, Optimization and Hybrid Algorithms
- Integer Programming Models and Heuristics for Non-Crossing Euclidean 3-Matchings
- A Multi-Objective Robust Ellipse Fitting Algorithm
- Gradient-Based Multiobjective Optimization with Uncertainties
- A New Local Search Heuristic for the Multidimensional Assignment Problem
- Part III: Electronics and Embedded Systems
- A Multi-Objective and Multidisciplinary Optimisation Algorithm for Microelectromechanical Systems
- Coef{uFB01}cients Estimation of MPM through LSE, ORLS and SLS for RF-PA Modeling and DPD
- Optimal Sizing of Ampli{uFB01}ers by Evolutionary Algorithms with Integer Encoding and gm/ID Design Method
- Index. .