One of the key issues in solving constrained multi-objective optimization problems (CMOPs)
is balancing the three indicators of convergence, diversity, and feasibility. We believe at …

With the maturity of the Internet of Things, 5G communication, big data and artificial
intelligence technologies, open-pit mine intelligent transportation systems based on …

How to balance the satisfaction of constraints and the optimization of objective functions is
one of the key issues to solve constrained multi-objective optimization problems (CMOPs) …

To solve the multi-modal multi-objective optimization problems which may have two or more
Pareto-optimal solutions with the same fitness value, a new multi-objective particle swarm …

The trend in underground mine development is trackless transportation, and the scheduling
optimization of underground mine trackless transportation is a current research hotspot. This …

Achieving a trade-off between convergence, feasibility, and diversity is critical for solving
constrained multiobjective optimization problems (CMOPs). Existing constrained …

The proportion of mines using autonomous mining trucks is still very low at present. To
promote the development of intelligent mining, it is urgent to proceed with the drive-by-wire …

Many metaheuristic methods have been proposed and have shown promising performance
in solving multi-objective optimization problems (MOPs). As a representative example, the …

This study established a truck dispatching model adopting 0‐1 decision variables to
rationally allocate truck transportation in open‐pit mines, maximize the total loading and …

An important logistic process in open-pit mines is material handling due to its high
operational costs. In this process shovels extract and load materials that must be transported …