SKU: 75783388639

Ant Colony Optimization

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Ant Colony OptimizationBy: Marco Dorigo, Thomas Stutzle An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications. The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one

By: Marco Dorigo, Thomas Stutzle     
An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications.

The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses.

The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, an ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises. Ant Colony Optimization will be of interest to academic and industry researchers, graduate students, and practitioners who wish to learn how to implement ACO algorithms.

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SKU: 75783388639

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Nicole Miller
Battle Creek, US
★★★★★ 3
Smaller than I thought
Size: B 1PCS, Color: Black
Smaller than I thought. So I ordered a bigger one.
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Reviewed in the United States on April 3, 2026
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Dewania Sanders
Massapequa, US
★★★★★ 5
Works good
Size: B 1PCS, Color: Black
I purchased one other one that was a lot more expensive than this one and I do love this one. It works great.
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Reviewed in the United States on May 15, 2026
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April Klegin
Houston, US
★★★★★ 5
Space saver
Size: A 1PCS, Color: Black, Size: A 1PCS, Color: Black
Fits perfect by my sink. All my items worked in there. The only thing is I had to use zip ties to hold bar on for hanging my dishcloth.
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Reviewed in the United States on May 26, 2026
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D. Peterson
Waukegan, US
★★★★★ 5
Great for organization
Color: A-silver
This looks great and absolutely declutters my sink area. Has a tray to catch runoff water. Made very well. Super pleased.
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Reviewed in the United States on April 22, 2026
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T.S.
Waukegan, US
★★★★★ 5
Genius compact storage solution
Color: A-silver
This basket is cute, clean, & Clever. It holds the necessities without bulk or clutter. There is a drainage tray to pull out & rinse & the whole thing is dishwasher safe.
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Reviewed in the United States on April 1, 2026

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