rludovicus / TubesDAA Star 1 Code Issues Pull requests This is final task of design and analysis of algorithm. It's about implementation of brute force, greedy, and dynamic programming on knapsack problem. br
proposed a distributed approximation algorithm (DAA) to solve the supply chain network design [55]. After that, Guo et al. further studied and proposed a multi-objective mixed integer linear programming model (MILP) that considers carbon emissions and social responsibility. To solve the ...
Fatima-Zahra Mhadaa and Youssef Benadadaa aMohammed V University in Rabat ENSIAS, Morocco CHRONICLE ABSTRACT Article history: Received February 5 2020 Received in Revised Format February 28 2020 Accepted March 5 2020 Available online March 5 2020 Keywords: DVRP Memetic algorithm Multi-tours Overtime...
First, considering the wide gap of FH signals, an improved power estimation method is proposed to track the support set in the time domain. Second, to sort multiple signals more effectively, a feedback control algorithm based on dynamic programming is proposed. In the proposed method, the ...
The structure of a power supervisor based on an optimal power dispatch algorithm is here proposed. Optimization was performed using dynamic programming (DP). In this paper, a system configuration of a DC microgrid is analyzed in different scenarios to show the efficacy of the control for all ...
In this paper, we propose a "multistart-type" algorithm for solving the max-k-cut problem. Central to our algorithm is an auxiliary function we propose. We formulate the max-k-cut problem as an explicit mathematical form, which allows us to use an easy implementable local search. The const...
The general framework and basic dynamic correlation method will be presented firstly, and Then, the spatio-temporal correlation analysis algorithm will be concluded finally. 3.1. Spatio-Temporal Correlation Analysis Framework Based on the demand analysis of the industrial atmospheric management, the ...
6.3. Dynamic Simulation in Scene Browser For the purpose of further verification of our method, we embed the algorithm in a scene browser and choose a typical traffic scene including the intersections for virtual vehicle to execute the driving tasks of lane change, overtaking, slowing down and ...
In addition, a large number of fragments of the application fingerprint in the extraction process will greatly occupy the time and space of algorithm calculation. therefore, the division here is focused on finding “breakpoints”. This “breakpoint” is determined not only by time but by other ...
Algorithm 1. Steps in optimizing f 1(x,t) and f 2(x,t) Input: OF parameters, optimization parameters Output: Pareto optimal set, MIGD Start Specify f2(x,t) based on case (n) Activate input matrices for f2(x,t) Perform genetic mutation, crossover, and selection based on specified ...