[PDF] Top 20 A Genetic Algorithm Approach for Solving a Flexible Job ShopScheduling Problem

... each job. JSSP is a sequencing problem with no machine substitute for each operation while in FJSSP, alternative machines are considered for each ...a genetic algorithm (GA) for solving ... See full document

... applying Genetic Algorithms (GAs) to find good quality solutions for the UC ...UC problem are based on the binary ...proposed algorithm a solution is encoded as a vector of N real random keys in the ... See full document

... complex problem consisting in determining the optimal allocation of tasks to resources under a set of constraints, which in enterprise business assumes a critical ...issue. Solving this issue requires the ... See full document

... (SA), Genetic Algorithms (GAs) and Tabu Search (TS) have been proposed to find the near optimal solutions for the problem of scheduling jobs on a single ma- chine with a common due date [6, 7, 9] and ...by ... See full document

... Each job must be processed on a given machine and consists of a chain of complex of operations which have to be scheduled in a predetermined given order, a requirement called a precedence constraint ...the ... See full document

... Hybrid genetic algorithm: Hybrid Genetic Algorithm (HGA) is a novel genetic algorithm on some additional heuristics which improves the convergence rate of the algorithm as ... See full document

... for solving optimization problems, including many scientific, economic and socially relevant ...with genetic programming (GP), evolutionary programming (EP), and evolution strategies, are the major classes ... See full document

... Abstract - Vapor-liquid equilibrium calculations require global minimization of deviations in pressure and gas phase compositions. In this work, two versions of a stochastic global optimization technique, the ... See full document

... N-G) approach for solving the multiresponse problem in the Taguchi ...proposed approach includes two ...N-G approach may provide a great assistance to practitioners for solving ... See full document

... Knapsack Problem (0-1 KP) is a special case of general 0-1 linear problem in which the allocation of items to a knapsack is ...knapsack problem and proved that the complexity of this problem ... See full document

... as problem-solving skills appraisal decreased ...al problem-solving style and the identification of one’s abilities and skills to solve problems ...of problem-solving skills ... See full document

... with job splitting properties were done for the identical PMS ...the problem of identical PMS with job splitting and sequence dependent setup times to minimize maximum makespan within the set of all ... See full document

... Due to the temporal dimension, the authors are able to add differentiating characteristics to the traditional A* search method that aid in the development of a novel robot coordination system. Additionally, to ... See full document

... rabbit’s genetic material. While explaining how we designed the algorithm, we will describe some features that we ...the algorithm across different ... See full document

... To get an idea about the size of instances we could solve, we made a computational implementation of the algorithm using CPLEX and generated some random instances. We concluded that the number of tasks was ... See full document

... for solving the Travelling Salesman Problem decreases the computation time required to compute the solution by making use of parallel ...use genetic algorithm to find the optimum path solution ... See full document

... competitive algorithm (ICA) Imperialist competitive algorithm (ICA) is a new population-based meta-heuristic algorithm proposed by Atashpaz-Gargari and Lucas (2007), inspired from the socio-political ... See full document

... Crossover can generate a very large amount of different strings. However, depending on the initial population chosen, there may not be enough variety in the strings to ensure the GA covers the entire problem ... See full document

... Este trabalho ´e motivado pelo impacto econˆomico de problemas de sequenciamento na cadeia de suprimento e pela sua aplicabilidade em ambientes industriais e de servi¸cos. Este estudo trata do sequenciamento de tarefas ... See full document

... Since the Sharpe ratio has been derived in 1966 by William Sharpe [24], it has been one of the most referred risk/return measures used in finance, and much of this popularity can be attributed to its simplicity. The ... See full document