In this paper, an estimation of distribution algorithm (EDA)-based memetic algorithm (MA) is
proposed for solving the distributed assembly permutation flow-shop scheduling problem …

In this paper, an effective bi-population based estimation of distribution algorithm (BEDA) is
proposed to solve the flexible job-shop scheduling problem (FJSP) with the criterion to …

To solve the multi-objective flexible job-shop problem (MFJSP), an effective Pareto-based
estimation of distribution algorithm (P-EDA) is proposed. The fitness evaluation based on …

This paper presents two hybrid metaheuristic approaches, viz. a hybrid steady-state genetic
algorithm (SSGA) and a hybrid evolutionary algorithm with guided mutation (EA/G) for order …

Due to the increasing concerns about global warming, low-carbon production has been a
hot topic around the world. In this paper, carbon emissions reduction and project makespan …

Network function virtualization (NFV) is an emerging network paradigm that decouples
softwarized network functions from proprietary hardware. Nowadays, resource allocation …

In our previous researches, we proposed the artificial chromosomes with genetic algorithm
(ACGA) which combines the concept of the Estimation of Distribution Algorithms (EDAs) with …

Scheduling for wafer fabrication of advanced technology nodes entails complicated
constraints such as limited waiting times. Focusing on real settings, this paper aims to …

The flexible job-shop environments have become increasingly significant because of rapid
improvements on shop floors such as production technologies, manufacturing processes …

With the trend of economic globalization, distributed manufacturing widely exists in modern
manufacturing systems. As an extension of the distributed flowshop scheduling problem, the …