General-purpose optimization through information maximization [electronic resource] / Alan J. Lockett.
This book examines the mismatch between discrete programs, which lie at the center of modern applied mathematics, and the continuous space phenomena they simulate. The author considers whether we can imagine continuous spaces of programs, and asks what the structure of such spaces would be and how t...
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Full Text (via Springer) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Germany :
Springer,
2020.
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| Series: | Natural computing series.
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| Subjects: |
Table of Contents:
- Introduction
- Review of Optimization Methods
- Functional Analysis of Optimization
- A Unified View of Population-Based Optimizers
- Continuity of Optimizers
- The Optimization Process
- Performance Analysis
- Performance Experiments
- No Free Lunch Does Not Prevent General Optimization
- The Geometry of Optimization and the Optimization Game
- The Evolutionary Annealing Method
- Evolutionary Annealing In Euclidean Space
- Neuroannealing
- Discussion and Future Work
- Conclusion
- App. A, Performance Experiment Results
- App. B, Automated Currency Exchange Trading.