Along with the growing demands for customized products and small batch production, the
flexible job shop manufacturing environment becomes increasingly popular. Efficient flexible …

In this work, we develop a novel mathematical formulation for the energy-efficient flexible job-
shop scheduling problem using the improved unit-specific event-based time representation …

In solving many-objective optimization problems (MaOPs), existing nondominated sorting-
based multi-objective evolutionary algorithms suffer from the fast loss of selection pressure …

Electrical discharge machining (EDM) can use soft tool electrodes to process hard
workpieces to achieve “soft against hard”, because it directly uses electrical energy and …

With the increasing attention on environmental issues, green scheduling in manufacturing
industries has become a hot research topic. As a typical scheduling problem, the flexible job …

The existing papers on unrelated parallel machine scheduling problem with sequence and
machine-dependent setup times (UPMSP-SMDST) ignore the worker resources and …

This work considers an extended version of flexible job-shop problem from a postprinting or
semiconductor manufacturing environment, which needs a directed acyclic graph rather …

Simulation modeling is an important tool for simulating crowd behavior and studying the law
of crowd evacuation. It is of great significance for exploring evacuation management …

The automated robotic polishing system (ARPS) consisting of several robotic polishing cells
(RPCs) is widely adopted in polishing industry to replace manual labor. Recently, energy …

Particle Swarm Optimization (PSO) has been frequently employed to solve diversified
optimization problems. Choosing initial placement for population plays an important role in …