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Approximate Algorithms Design for Solving NP-Complete Problems

Student: Murzin Petr

Supervisor: Sergey Slastnikov

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Control Systems and Data Processing in Engineering (Master)

Final Grade: 7

Year of Graduation: 2017

The major objective of this study is to investigate and develop approximate algorithms for NP-complete problems. Polynomial algorithms for such problems have not been found yet, but it also has not been proven that such algorithms do not exist. Particular attention is paid to the VRP (Vehicle Routing Problem). Algorithms of swarm intelligence and their modifications are used in order to solve this problem. A hybrid algorithm was developed, which is a sequential and embedded scheme of bee, genetic and ant algorithms respectively. The dependence of optimal parameters and objective functions is revealed.

Full text (added May 26, 2017)

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