Towards Enhancing Energy Consumption and Time Complexity of Combinatorial Algorithms for Solving the Knapsack Problemdoi:10.57233/ijsgs.v10i4.730COMBINATORIAL optimizationGREEDY algorithmsDYNAMIC programmingENE
TIME COMPLEXITY: The time complexity of the algorithm is O(2^n), where n is the number of variables. This exponential time complexity arises due to the recursive nature of the algorithm, where each variable can have two possible values (true or false). USAGE : • Compile and run the p...
SEMO only flips one bit in each mutation, and previous work avoided the complexity of analysing standard mutations. Theorem 8 The expected time for QD, operating on the 1-NoO feature space, on OneMax to cover all [Math Processing Error]n+1 cells equals the expected time of GSEMO covering...
Keywords Subset-sum problem Knapsack problem Parallel algorithms Dynamic programming Upper-bound complexity View PDFReferences [1] S.G. Akl The Design and Analysis of Parallel Algorithms Prentice-Hall, Englewood Cliffs, NJ (1989) Google Scholar [2] K.E. Batcher, So...
Based on quantum computing technics, we contributed the following advancements to the research on the high-speed train timetable optimization: (1) A simplified knapsack problem model (Sect. 2.2) is proposed to test the arithmetic power of quantum computing. (2) To fit the requirements of ...
The CTV problem has attracted a lot of attention recently, especially in the context of just-in-time systems. The reader is referred to Merten and Muller [11] and Kanet [6] for practical motivation behind the problem, and to Kubiak [9] for the problem's computational complexity. Our goal...
Event-based disruptionAsdisruptive eventsat runtime can cause a re-selection of one or more service compositions from one or more users, the complexity of the corresponding MMKP increases. In particular, the re-selection and therefore the service compositions are dependent on the number and the ty...
The stochastic knapsack problem with deterministic sizes and random profits has been studied in [2], [7], [9], ...A fully polynomial time approximation scheme for single-item stochastic lot-sizing problems with discrete demands. Working paper - Halman, Klabjan, et al. - 2006 () Citation ...
This optimization can be formulated as a binary knapsack problem which is known to be NP complete. The purging algorithm does not attempt to solve the problem optimally because of its complexity. Rather, it adopts a divide and conquer approach that drastically reduces the algorithm complexity. ...
Mathematical Methods of Operations Research 60, 311–329 (2004) CrossRef Polyakovsky, S.J., M’Hallah, R.: New Trends in Applied Artificial Intelligence: An agent-based approach to knapsack optimization problems. In: Okuno, H.G., Ali, M. (eds.) IEA/AIE 2007. LNCS (LNAI), vol....