Exploration and exploitation are two cornerstones of evolutionary algorithms. An appropriate
balance between exploration and exploitation can drive a search process toward global …

Community is a fundamental and highly desired pattern in a Large-scale Undirected
Network (LUN). Community detection is a vital issue when LUN representation learning is …

As a crucial data preprocessing method in data mining, feature selection (FS) can be
regarded as a bi-objective optimization problem that aims to maximize classification …

In recent years, integrated production and distribution scheduling (IPDS) has received
growing attention from academia and industry. With increasingly global economic activities …

A bottleneck-minimized colored traveling salesman problem is an important variant of
colored traveling salesman problems. It is useful in handling the planning problems with …

A dandelion algorithm (DA) is a recently developed intelligent optimization algorithm for
function optimization problems. Many of its parameters need to be set by experience in DA …

This work addresses multiobjective dynamic surgery scheduling problems with considering
uncertain setup time and processing time. When dealing with them, researchers have to …

In wireless visual sensor networks, the generation and transmission of huge amounts of
image data consume much energy of sensor nodes (SNs), and their routing and processing …

Maintaining the diversity of the decision space is of great significance in multimodal
multiobjective optimization problems (MMOPs). Since the traditional Pareto-dominance …

In our fast-paced, technology-driven world, multi-robot systems have emerged as crucial
solutions to tackle contemporary challenges, from industrial automation to disaster …