id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-027134-1k6oegu4	Turky, Ayad	Deep Learning Assisted Memetic Algorithm for Shortest Route Problems	2020-05-25		.txt	text/plain	3413	252	60	One relevant approach is the recent use of evolutionary algorithms in other domains to work along with deep learning models for effective feature extraction and selection [18] [19] [20] [21] . In particular we design a customized memetic algorithm to find shortest route based on the predicted travel time from the earlier stage. -Development of a deep learning method to predict the travel time between a origin-destination pair. In this paper, we propose a deep learning assisted memetic algorithm to solve the shortest route problems. The prediction stage is responsible to predict the travel times between a pair of origin and destination along the given route by using deep learning. This justifies the benefit of using deep learning approach to predict the travel time and the proposed memetic algorithm to exploit the current search space around the given solution. In this study, we proposed a novel two-stage approach for finding the shortest route under dynamic environment where travel time changes.	./cache/cord-027134-1k6oegu4.txt	./txt/cord-027134-1k6oegu4.txt