… or more optimization algorithms based on biological evolutionary and mathematical
ecological theory have been employed to improve the algorithm performance. Wang et al. (2016) …

… In this paper, we present a novel multi-objective enhanced Genetic Algorithm (EGA) to find
the optimal path in terms of path length, smoothness, and safety in a continuous environment. …

… a path planning method based on probability maps and uses a new genetic algorithm for a
… employs a co-evolution mechanism together with an improved genetic algorithm (GA). This …

… path planning problem of autonomous UAV in target coverage problems is solved by using
artificial intelligent methods including genetic algorithm (… population enhancement methods in …

… optimal path in a static environment based on the … path planning algorithm enhancements
such as the Probabilistic Road Map, Rapid Exploring Random Tree (RRT), Genetic Algorithm (…

… distributed particle swarm optimization (D 2 PSO) algorithm is proposed for trajectory path
planning of … Experimental results show that our approach performs better in escaping local …

… improved genetic algorithm on multiple automated guided vehicle (multi-AGV) path planning…
-exchange crossover heuristic operators in the improved genetic algorithm. Second, double-…

… This method can better realize the path planning of the mobile robot in a … the genetic
algorithm to study path planning. The genetic algorithm is designed according to the evolutionary …

… evolutionary algorithm is proposed and several evolutionary … , through these operations to
enhance our build path effect. … status of intelligent robot path planning algorithms is introduced. …

… with path planning was posed in the form of a digraph and a more comprehensive encoding
with genetic … Despite this, considering the obviously improved objective function values, we …