<p><P>Optimization problems are ubiquitous in academic research and real-world applications wherever such resources as space, time and cost are limited. Researchers and practitioners need to solve problems fundamental to their daily work which, however, may show a variety of challenging characterist
Adaptive differential evolution: a robust approach to multimodal problem optimization
โ Scribed by Huashan;Sanderson, Arthur C
- Publisher
- Springer
- Year
- 2009
- Tongue
- English
- Leaves
- 171
- Series
- Adaptation learning and optimization vol. 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Related Work and Background.- Theoretical Analysis of Differential Evolution.- Parameter Adaptive Differential Evolution.- Surrogate Model-Based Differential Evolution.- Adaptive Multi-objective Differential Evolution.- Application to Winner Determination Problems in Combinatorial Auctions.- Application to Flight Planning in Air Traffic Control Systems.- Application to the TPM Optimization in Credit Decision Making.- Conclusions and Future Work.
โฆ Subjects
analyse (wiskunde);applied mathematics;artificial intelligence;Artificial intelligence. Robotics. Simulation. Graphics;computational science;engineering;Engineering (General);Engineering sciences. Technology;ingenieurswetenschappen;kunstmatige intelligentie;Mathematics;Operational research. Game theory;operationeel onderzoek;operations research;robots;speltheorie;Techniek (algemeen);toegepaste wiskunde;Mathematical optimization;Evolutionary computation;Evolutionary programming (Computer science)
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I ?rst met Jingqiao when he had just commenced his PhD research in evolutionary algorithms with Arthur Sanderson at Rensselaer. Jingqiao's goals then were the investigation and development of a novel class of se- adaptivedi?erentialevolutionalgorithms, later calledJADE. I had remarked to Jingqiao th
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