Computational Intelligence in Expensive Optimization Problems /
| Corporate Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| Edition: | 1st ed. 2010. |
| Series: | Adaptation, Learning, and Optimization,
2 |
| Subjects: |
Table of Contents:
- Techniques for Resource-Intensive Problems
- A Survey of Fitness Approximation Methods Applied in Evolutionary Algorithms
- A Review of Techniques for Handling Expensive Functions in Evolutionary Multi-Objective Optimization
- Multilevel Optimization Algorithms Based on Metamodel- and Fitness Inheritance-Assisted Evolutionary Algorithms
- Knowledge-Based Variable-Fidelity Optimization of Expensive Objective Functions through Space Mapping
- Reducing Function Evaluations Using Adaptively Controlled Differential Evolution with Rough Approximation Model
- Kriging Is Well-Suited to Parallelize Optimization
- Analysis of Approximation-Based Memetic Algorithms for Engineering Optimization
- Opportunities for Expensive Optimization with Estimation of Distribution Algorithms
- On Similarity-Based Surrogate Models for Expensive Single- and Multi-objective Evolutionary Optimization
- Multi-objective Model Predictive Control Using Computational Intelligence
- Improving Local Convergence in Particle Swarms by Fitness Approximation Using Regression
- Techniques for High-Dimensional Problems
- Differential Evolution with Scale Factor Local Search for Large Scale Problems
- Large-Scale Network Optimization with Evolutionary Hybrid Algorithms: Ten Years' Experience with the Electric Power Distribution Industry
- A Parallel Hybrid Implementation Using Genetic Algorithms, GRASP and Reinforcement Learning for the Salesman Traveling Problem
- An Evolutionary Approach for the TSP and the TSP with Backhauls
- Towards Efficient Multi-objective Genetic Takagi-Sugeno Fuzzy Systems for High Dimensional Problems
- Evolutionary Algorithms for the Multi Criterion Minimum Spanning Tree Problem
- Loss-Based Estimation with Evolutionary Algorithms and Cross-Validation
- Real-World Applications
- Particle Swarm Optimisation Aided MIMO Transceiver Designs
- Optimal Design of a Common Rail Diesel Engine Piston
- Robust Preliminary Space Mission Design under Uncertainty
- Progressive Design Methodology for Design of Engineering Systems
- Reliable Network Design Using Hybrid Genetic Algorithm Based on Multi-Ring Encoding
- Isolated Word Analysis Using Biologically-Based Neural Networks
- A Distributed Evolutionary Approach to Subtraction Radiography
- Speeding-Up Expensive Evaluations in High-Level Synthesis Using Solution Modeling and Fitness Inheritance.