%0 Journal Article
%T Task Offloading Scheduling with Time Constraint for Optimizing Energy Consumption in Edge Cloud Computing
%A Shufa Wen
%A Hongzhi Xu
%J Open Access Library Journal
%V 10
%N 11
%P 1-19
%@ 2333-9721
%D 2023
%I Open Access Library
%R 10.4236/oalib.1110910
%X In this paper, an improved genetic algorithm with delay constraint was designed. When initializing the population, a greedy strategy was adopted to ensure that there were enough excellent genes in the initial population, a normal distribution ordering selection strategy was adopted when selecting the next generation, so that high-quality chromosomes have a greater probability of being selected, and an adaptive cross-mutation strategy was proposed to achieve dynamic probability when cross-mutation was carried out to avoid the problem that the algorithm was easy to fall into the local optimal solution in the later stage, and at the same time, a maximum subsegment crossover strategy and a discardable mutation strategy were proposed to solve the problem of individual solution deterioration after crossover.
%K Edge Cloud Computing
%K Offloading Scheduling
%K Improving Genetic Algorithms
%K Limited Latency
%K Optimal Energy Consumption
%U http://www.oalib.com/paper/6808627