Tomasz Kalinowski, Solving the Mapping Problem with a Genetic Algorithm on the MasPar-1, Proceedings of the 1st International Conference on Massively Parallel Computing Systems pp.370-374 , 1994.T. Kalinowski, Solving the mapping problem with a genetic algorithm on the maspar-1, in: Proceedings...
This example shows how to solve a mixed integer engineering design problem using the Genetic Algorithm (ga) solver in Global Optimization Toolbox.The problem illustrated in this example involves the design of a stepped cantilever beam. In particular, the beam must be able to carry a presc...
to solve a mixed-integer engineering design problem using the genetic algorithm (ga) solver in Global Optimization Toolbox. The example uses the problem-based approach. For a version using the solver-based approach, seeSolve a Mixed-Integer Engineering Design Problem Using the Genetic Algorithm. ...
The mathematical model of the problem, due to the nature of the problem is NP-Complete, innovative genetic algorithm for the problem-informed has been developed. Then for several examples of genetic algorithm, compared with the solution and the solution algorithm and answer exactly (by Lingo ...
A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows - iRB-Lab/py-ga-VRPTW
Algorithm run_gavrptw(instance_name, unit_cost, init_cost, wait_cost, delay_cost, ind_size, pop_size, \ cx_pb, mut_pb, n_gen, export_csv=False, customize_data=False) implements a genetic algorithm-based solution to vehicle routing problem with time windows (VRPTW). Parameters: instance...
The no-wait flow shop scheduling is an NP-hard problem with a single objective if the number of machines is more than two. In this research, total flow time and makespan performance measures are considered for NW-FSSWST problems. For solving the NW-FSSWST problems, the genetic algorithm is...
A Genetic Algorithm for the Multi-Pickup and Delivery Problem with time windows
It should be noted that our problem is not asymmetric in the sense that there are no opposite arcs with different costs but there are edges which have different costs depending on the traversal direction. In order to compare the performance of our heuristic algorithm with respect to the ...
Comparison of simulation results in solving the 2-way graph partitioning problem with this new GA, the simple GA and the good point GA shows that this new method has superiority in speed, accuracy and precision. 参考文献(共11条): [1] KANG S,MOON B R,A hybrid genetic algorithm for multi...