This project aims at generation of course schedules automatically in a manner which ensures that they are optimal and thorough with little or no redundancy. It involves taking basic constraints and the structure of a time-table and incorporating them into the genetic algorithm. This system would ...
pranavkhurana / Time-table-scheduler Star 223 Code Issues Pull requests Time Table generation using Genetic Algorithms ( Java-Struts2) java eclipse genetic-algorithm scheduling timetable struts2 timetable-generator chromosome Updated Apr 29, 2017 Java ...
Introducing a Novel Parameter in Generation of Course Timetable with Genetic AlgorithmGenetic algorithmTimetableSchedulingHappiness parameterIn this paper, we introduce a new Happiness parameter along with Genetic Algorithm for generating course timetable. This happiness parameter will generate appropriately ...
79). An overview of zebrafish crosses used to acquire embryo timeseries is given in Supplementary Table 1. For the temperature experiments, zebrafish eggs were collected within 15 min after mating and distributed into multiwell plates with embryo medium. Medaka eggs of the Cab strain were ...
Table 2. Summary of quantum computing based approaches in SNA and QCD. MethodologyPrinciple ideaAdvantagesLimitationsReference Quantum social networks (QSNs) A test case (actor) is used to symbolize a yes/no test QSNs outperform CSNs for some graphs and selected problems Requires the system to be...
Finally, real-time experiments based on robot operating system (ROS) implementation are conducted to validate the effectiveness of the proposed path planning algorithm.Similar content being viewed by others Optimized Path Planning for Three-Wheeled Autonomous Robot Using Teaching–Learning-Based Optimization...
First, the parameters of the processor-level DVFS algorithm are optimized. To do this, the idle/busy cycles of the processing cores while running various benchmarks need to be analyzed. Table 7.1 shows the percentage of busy/idle cycles for the benchmarks evaluated. This indicates the ...
Horizontal axis: Relative abundance of each strain as measured by next generation sequencing. (Raw sequence counts given in Supplementary Table 2) Vertical Axis: Relative abundance of each strain in the microfluidic chip. (The number of measurements for each genotype is equal to its number of trap...
we formulate the novel problem of explainable time series tweaking, and focus on two instantiations of the problem using thek-nearest neighbor and the random shapelet forest classifiers; we propose a generalized method for solving the problem for thek-nearest neighbor classifier;Footnote1 ...
They are the parameters in the network configuration and the parameters in the algorithm. The parameters for different network configurations and their values are listed in Table 1. We name the Diffusion PSO with BFBS (Algorithm 1) as the Diffusion PSO + BS (DPSO+BS), the Diffusion PSO ...