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[edit] Bibliographical Data
| Title: | Essentials of Metaheuristics
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| Author: | Sean Luke
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| Subjects: | Computer Science, Mathematics
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| Key words: | metaheuristics, stochastic optimization, evolutionary computation, optimization, ant colony optimization, hill climbing, computer science, artificial intelligence
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| Education Level: | Higher Education
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| License: | CC Attribution-No Derivatives (by-nd)
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[edit] Abstract
This is an open set of lecture notes on metaheuristics algorithms, intended for undergraduate students, practitioners, programmers, and other non-experts. It was developed as a series of lecture notes for an undergraduate course I taught at GMU. The chapters are designed to be printable separately if necessary. As it's lecture notes, the topics are short and light on examples and theory. It's best when complementing other texts. With time, I might remedy this.
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