Reinforcement Learning-Based Multiobjective Evolutionary Algorithm for Mixed-Model Multimanned Assembly Line Balancing Under Uncertain Demand
Green hybrid fleets using electric vehicles: Solving the heterogeneous vehicle routing problem with multiple driving ranges and loading capacities
A multi-objective co-evolutionary algorithm for energy and cost-oriented mixed-model assembly line balancing with multi-skilled workers
Adopting different wind-assisted ship propulsion technologies as fleet retrofit: An agent-based modeling approach
Multi-manned assembly line balancing with time and space constraints: A MILP model and memetic ant colony system
