Intelligent scheduling covers various tools and techniques for successfully and efficiently
solving the scheduling problems. In this paper, we provide a survey of intelligent scheduling …

An improved particle swarm optimization (IPSO) is proposed in this paper. In the new
algorithm, a population of points sampled randomly from the feasible space. Then the …

Recent years, the multi-objective evolutionary algorithm based on decomposition (MOEA/D)
has been researched and applied for numerous optimization problems. In this study, we …

In this paper, a new modified particle swarm optimization algorithm with negative knowledge
is proposed to solve the mixed-model two-sided assembly line balancing problem. The …

At present, any industry that wanted to be considered a vanguard must be willing to improve
itself, develo** innovative techniques to generate a competitive advantage against its …

The problem of flexible job shop batch scheduling represents an extension of the flexible
manufacturing problem. Different batching strategy significantly affects the effect of …

Efficient scheduling in flow shop environments with lot streaming remains a critical
challenge in various industrial settings, necessitating innovative approaches to optimize …

This study investigates a flow shop group scheduling problem where both sequence-
dependent setup time between groups and round-trip transportation time between machines …

In this paper, a novel hybrid discrete particle swarm optimization algorithm is proposed to
solve the dual-resource constrained job shop scheduling problem with resource flexibility …

Lot-streaming scheduling problem has been an active area of research due to its important
applications in modern industries. This paper deals with the lot-streaming flowshop problem …