Abstract
The results related to finding local optima in combinatorial optimization are overviewed. The class of polynomial-time local search problems (class PLS) is considered. By analogy with Cook’s theorem, the existence of most complicated problems in this class is established. The number of steps in local descent algorithms is estimated in the worst and average cases. The local search determination of exact and approximate solutions with guaranteed error bounds is discussed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Computational Mathematics and Mathematical Physics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
