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What is NP-Hard Problems

Encyclopedia of Information Science and Technology, Fourth Edition
Non – deterministic polynomial time hard problems.
Published in Chapter:
Cuckoo Search Algorithm for Solving Real Industrial Multi-Objective Scheduling Problems
Mariappan Kadarkarainadar Marichelvam (Mepco Schlenk Enginering College, India) and Mariappan Geetha (Kamaraj College of Engineering and Technology, India)
Copyright: © 2018 |Pages: 13
DOI: 10.4018/978-1-5225-2255-3.ch379
Abstract
A multistage hybrid flow shop scheduling problem is considered in this chapper with the objective of minimizing the makespan and mean flow time. Since the problem is NP-hard in nature, many heuristics and meta-heuristics were developed by the researchers. cuckoo search algorithm is one of the recently developed meta–heuristic algorithms inspired by the social behavior of cuckoos. The cuckoo search algorithm is presented in this paper to solve the hybrid flow shop scheduling problems. To illustrate the proposed algorithm, data sets from a steel furniture manufacturing company are used. The computational results show that the proposed algorithm is better than many other algorithms.
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More Results
Group Signature System Using Multivariate Asymmetric Cryptography
Is a class of problems that are, at least as hard as the hardest problems in NP. More precisely, a problem H is NP-hard when every problem L in NP can be reduced in polynomial time.
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Ensemble Clustering Data Mining and Databases
A notion used in computational complexity theory. It denotes a class of problems that are, informally, “at least as hard as the hardest problems in NP”. The shorthand NP means “non-deterministic polynomial-time.”
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Consensus Clustering
Very hard computational problems. The shorthand NP means “non-deterministic polynomial-time.”
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Investigating the Efficiency of GRASP for the SDST HFS with Controllable Processing Times and Assignable Due Dates
Non-deterministic Polynomial-time Hard, in computational complexity theory, is a class of problems that are, at least as hard as the hardest problems in NP. A problem is NP-hard if an algorithm for solving it can be translated into one for solving any NP-problem (nondeterministic polynomial time) problem.
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Learning Nash Equilibria in Non-Cooperative Games
Problems that are intrinsically harder than those that can be solved by a nondeterministic Turing machine in polynomial time.
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