... only Transit network design Taxi GPS trajectory data Deep Q-Network Graph neural network Multi-objective optimization The rapid rise of emerging mobility services such as bike-sharing and ride-hailing has contributed to a noticeable decline in public transit ridership. Consequently...

... parameters in the evolutionary clustering framework, the traditional multi-objective evolutionary approach lacks self-adaptability. Design/methodology/approach This paper proposes a community detection algorithm that integrates evolutionary clustering and decomposition-based multi-objective optimization...

... ) ) , y i j h k l = { = 1 , if O j h precedes O k l on M i = 0 , otherwise . Flexible job-shop scheduling problem Transportation time Genetic algorithm Simulated annealing Multi-objective optimization Nomenclature...

... corresponds to RI that utilizes a population size of 100 for solving the extreme problem instance X2. © Emerald Group Publishing Limited 2014 Evolutionary computation Multi-objective optimization Genetic algorithms Response surface methodology Dynamic environments Resource...

... computation Genetic Algorithms Multi-objective optimization Response Surface Methodology Scheduling Resource-constrained project Dynamic environments It is beneficial to create empirical mathematical models that characterize Evolutionary Algorithm (EA)-based techniques (Yeguas et al...