The solutions obtained from the greedy approach are proposed as initial countries ( G藚G) in solving the maximum graph problem using Imperialist Competitive Algorithm. Imperialist Competitive, by switching vertices and finding vertices which increases the clique size, finds the maximum clique. ...
RFE is a greedy algorithm for finding the optimal feature subset. SVM model was used as the model of RFE in our study. Cost-sensitive learning SVM is good at high dimension data, making it popular for many ML practitioners. Furthermore, in the SVM model, by changing the weights of ...
The Big step greedy algorithm, in each step selects p sets such that the union of selected p sets contains greatest number of uncovered elements and adds the selected p sets to partial set cover. The process of adding p sets is repeated until all the elements are covered. When p=1 it ...
A Fast and Exact Greedy Algorithm for the Core–Periphery Problem. Symmetry. 2020; 12(1):94. https://doi.org/10.3390/sym12010094 Chicago/Turabian Style Fasino, Dario, and Franca Rinaldi. 2020. "A Fast and Exact Greedy Algorithm for the Core–Periphery Problem" Symmetry 12, no. 1: 94....
Algorithms for solving VRPTo solve VRP we are using the following metaheuristic algorithms: Tabu Search with the initial solution generated with a Greedy Algorithm and Ant Colony System.The instances used are from http://vrp.atd-lab.inf.puc-rio.br/index.php/en/ in the TSPLIB format described...
Multi-angle quantum approximate optimization algorithm Article Open access 26 April 2022 Introduction Quantum annealing (QA) uses the principles of quantum mechanics for solving unconstrained optimization problems1,2,3,4. Since the initial proposal of QA, there has been much interest in the search ...
Note, an exemplary greedy RSSA algorithm is discussed with more details in Section 6.5. Table 10 presents various optimization approaches used in the surveyed works for solving static optimization problems. The most usual one is the ILP modeling, which is discussed in more detail below. Also ...
Finally, depending on their search mechanism, MHs can be iterative or greedy (Talbi, 2009). The former (e.g., ILS, GA) starts with a complete solution and manipulates it at each iteration using a set of search operators. The latter, also called constructive algorithm, starts from an empty...
Chapter © 2024 A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems Article Open access 29 January 2024 Hybrid meta-heuristic solving no-wait flow shop scheduling minimizing maximum tardiness Article 26 July 2024 1...
This measure increases in the minimal number of items over which a combinatorial search has to be performed before the remainder of the knapsack can be filled using the greedy algorithm and the optimal solution can be attained. This result replicates a finding of our earlier study12. In this ...