Since the multidepot vehicle routing problem with time windows and three-dimensional
loading constraints (MDVRPTW-TDLC) is a multiconstraint and combinatorial optimization …

Feature selection (FS) is an important technique in data preprocessing that aims to reduce
the number of features for training while maintaining a high accuracy for classification. In …

Optimization problem of space scale expansion widely exists in practical applications, such
as transportation, logistics, scheduling, social networks, etc. According to different expansion …

The paper presents a new version of evolutionary multi-objective weather routing (WR) for
ships taking into account uncertainties of weather forecasts in route optimization. The …

As the underlying technology of cryptocurrencies, blockchain has gained a lot of attention in
recent years. However, the storage problem needs to be solved with the increasing number …

Multi-objective evolutionary algorithms based on decomposition (MOEA/Ds) convert a multi-
objective optimization problem (MOP) into a set of scalar subproblems, which are then …

Industrial applications and optimization problems in reality often involve multiple objectives.
Due to the high dimensionality of objective space in many-objective optimization problems …

As a special case of the multiobjective optimization problem, the multiobjective knapsack
problem (MOKP) widely exists in real-world applications. Currently, most algorithms used to …

Passive positioning systems play an essential role in the field of electronic
countermeasures. Many factors affect the efficiency of passive positioning systems …