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A new approach to solve traveling salesman problem using genetic algorithm based on heuristic crossover and mutation operator
This paper proposes a new solution for Traveling Salesman Problem (TSP), using genetic algorithm. A heuristic crossover and mutation operation have been proposed to prevent premature convergence. Presented operations try ...
Data privacy using an evolutionary algorithm for invariant PRAM matrices
Finding Shortest Path with Learning Algorithms
This paper presents an approach to the shortest path routing problem that uses one of the most
popular learning algorithms. The Genetic Algorithm (GA) is one of the most powerful and
successful method in ...
Climate data clustering effects on arid and semi-arid rainfed wheat yield: a comparison of artificial intelligence and K-means approaches
humidity) were excluded for clustering. In the next
step based on Pearson correlation (P value < 0.05) between the yield, and the seven climate attributes, fitness function, and
silhouette index, only four attributes with higher correlation...
Computation parameters of cargo reservoir fill-up process on CNG-vessels in MATLAB
Perception-based evolutionary optimization: Outline of a novel approach to optimization and problem solving
is a single point of the search space and fitness function calculation is numerical. Hence, EO is blind towards the optimization landscape and this blindness inhibits its performance when the search space is very large and complex. Inspired by human...