With Python Codes for the TravelingSalesman Problem Éric D. Taillard Primary Author mixed material bibliography Cham Springer Nature 2023 en English

Ebook

287 Halaman This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Each metaheuristic can then be presented in simplified form as a combination of these concepts. This approach avoids giving the impression that metaheuristics is a non-formal discipline, a kind of cloud sculpture. Moreover, it provides concrete applications of the travelling salesman problem, which illustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even readers with a very limited background in the field will be able to follow all the content. Optimasi Matematika Analisis Perancangan Ilmu Komputer Algoritma Kecerdasan Buatan 519.6 9783031137143 Perpustakaan UMA Online Public Access Catalog (OPAC) 519.6 Eri d EB26000285 Perpustakaan Pusat UMA 519.6 Eri d Design of Heuristic Algorithms for Hard Optimization : With Python Codes for the TravelingSalesman Problem 978-3-031-13714-3.pdf.jpg.jpg 23741 2026-09-17 13:45:08 2026-10-13 10:39:34 machine generated