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Fast algorithm for path planning is helpful for artificial intelligence. Genetic Algorithm (GA) is a typical evolution method, used widely in path planning. A new GA based on path network is proposed in this paper. Efficient chromosome encoding strategy provided guarantees, and each chromosome represents a feasible path, avoiding the searching circulation. Variation happens at certain positions, making...
In order to solve the strategy optimization of Laser weapon intercept multiple in flight targets problem, a reasonable model is constructed and an improved Genetic Algorithm(GA) is proposed. It introduces both global search strategy and local search strategy to ensure the searching breadth as well as the solution precision. It adds a local search process in the standard GA. When the best child of...
Community mining has been the focus of many recent efforts on complex networks, and the genetic algorithm with low time-complexity is widely used in this discipline. To enhance the performance of genetic algorithm for community detection, the modified crossover operators which are more suitable for community detection is proposed in this paper, and the heuristic mutation operator based on local modularity...
An approach is proposed to obtain global and near-global optimal process plans based on genetic algorithm. During the procedure of initializing and mutating populations, operations precedence constraints are employed by constraint adjustment algorithm to ensure each chromosome stays in feasible domain. Operations precedence constraints can be generated automatically from the selected alternative machining...
Based on the traditional theory and algorithms of vehicle routing problem, the multi-objective VRPSDP mathematical model is established in considering the minimum of the number of vehicles and the transportation costs. The genetic algorithm is used as the solving algorithm of the model in this paper, in order to ensure the effectiveness of the chromosomes in the iterative process, the chromosome encoding...
Based on the theory of quantum mechanics and quantum computing, a path planning method for mobile robot based on quantum genetic algorithm was presented in this paper. By using the quantum-bit with the superposition state to encode a route and introducing quantum genetic algorithm to optimize the cost function of path planning, the proposed method guides and realizes path optimization by introducing...
For the multi-constrained routing problem, there are several constrained parameters such as the bandwidth, delay, packet loss rate, delay jitter, the QoS parameters influence each other. It has been proved as a NP-Complete problem, traditional linear method often have some difficulties in solving this problem. The application of ant colony algorithm or genetic algorithm often has a slow convergence...
Fuzzy Logic Controllers (FLCS) are rule-based system that successfully incorporate the flexibility of human-decision making by means of the use of fuzzy set theory. This paper provides an overview on evolutionary learning methods for the automated design and optimization of fuzzy logic controllers. A three-stage evolution framework that uses Genetic Programming (GP) and Genetic Algorithms (GAS) evolves...
Six primary factors have been analyzed which influence the performance of the Genetic Algorithm. The concrete method has been designed of setting algorithm parameters by using multi-factor analysis of variance. And it illustrates the implementation process of the methods by specific examples of applications. In the end with the data gained from the experiment it has proved that the performance of...
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