This paper designs a novel greedy search based data-driven method for centralized thermoelectric generation system to achieve maximum power point tracking under non-uniform temperature distribution. In order to
Greedy search algorithm is an effectual tool, which is generally used for optimization problems. The important steps of all greedy algorithms are as follows: 1. Choosing a candidate set and dividing the main problem into a finite set of subproblems. For the first subproblem, arbitrarily a candida...
Acceleration of the algorithm is independent of any parameter tuning. Feasible solutions are achieved heuristically by modifying the generation schedules within operating generation limits. Opposition-based greedy heuristic search has been implemented to analyze dynamic economic thermal power dispatch problems ...
Yepes, V., Torres-Machi, C., Chamorro, A., and Pellicer, E. (2016). Optimal pavement maintenance programs based on a hybrid Greedy Randomized Adaptive Search Pro- cedure Algorithm. Journal of Civil Engineering and Management, 22(4):540-550....
Greedy Equivalence Search (GES) is nowadays the state of the art algorithm for learning Bayesian networks (BNs) from complete data. However, from a practical point of view, this algorithm may not be fast enough to work in high dimensionality domains. This paper proposes some variants of GES ...
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Php-based LeetCode algorithm problem solutions, regularly updated. sortingtreedatabasemathalgorithmsstringmatrixarraybit-manipulationgreedybinary-treedynamic-programminghash-tablebreadth-first-searchhacktoberfestbinary-searchdepth-first-searchheap-priority-queuetwo-pointershacktoberfest-accepted ...
The decision variables of this problem are first encoded as a string called decision vector. The decision vector of the proposed algorithm consists of a sequence of integer numbers representing the customers for each vehicle in CVRP. The proposed method is developed in such a way that differential...
Yi et al.3 used a random sampling method based on potential function to improve the RRT* algorithm. Also remove the redundant nodes to make the path follow smoothly. Xue et al.22 proposed a multi-objective method to solve the multi-objective programming problem. According to the different ...