In view of the premature convergence of genetic algorithm, poor local search ability and the
strong local search ability and resistance to falling into local optimal solutions of simulated …

Genetic algorithms have been applied in various application domains and research fields
related to biology, chemistry, especially computer science and engineering. In this paper, we …

This paper focuses on the optimization of the projects scheduling problem decision using
evolutionary computation and simulation. The multi agent genetic optimization method to …

A simulated annealing genetic algorithm was put forward to solve the resource-constrained
multi-project scheduling problem. The ordinary genetic algorithm and simulated annealing …

A new hybrid genetic algorithm is generated in this paper, which is based on the simple
genetic algorithm. In this algorithm, some genetic operators such as crossover operator are …

A new Genetic Algorithm was proposed based on the analysis of the advantages and
disadvantages of the Genetic Algorithm and Simulated Annealing Algorithm. The genetic …

The project management optimization for an important aspect of the scheduling scheme is
reasonable to reduce costs, improve quality and shorten the cycle. Traditional project …

A major disadvantage of using a genetic algorithm for solving a complex problem is that it
requires a relatively large amount of computational time to search for the solution space …

This paper presents a new meta heuristic algorithm based on the search method called
simulated annealing, and its application to solving multiobjective simulation optimization …

While the management of a simulation project has many of the characteristics of traditional
project management, it also has a number of unique issues that must be addressed. This …