Artificial intelligence in product lifecycle management
Recently, artificial intelligence (AI) technology receives extensive attention in the
manufacturing field. As the core technology, it generates considerable interest among smart …
manufacturing field. As the core technology, it generates considerable interest among smart …
An overview on fault diagnosis and nature-inspired optimal control of industrial process applications
Fault detection, isolation and optimal control have long been applied to industry. These
techniques have proven various successful theoretical results and industrial applications …
techniques have proven various successful theoretical results and industrial applications …
Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem
W Deng, J Xu, Y Song, H Zhao - Applied Soft Computing, 2021 - Elsevier
The optimization performance of differential evolution (DE) algorithm significantly depends
on control parameters and mutation strategy. However, it is difficult to set suitable control …
on control parameters and mutation strategy. However, it is difficult to set suitable control …
A self-adaptive differential evolution algorithm for scheduling a single batch-processing machine with arbitrary job sizes and release times
Batch-processing machines (BPMs) can process a number of jobs at a time, which can be
found in many industrial systems. This article considers a single BPM scheduling problem …
found in many industrial systems. This article considers a single BPM scheduling problem …
An adaptive differential evolution with combined strategy for global numerical optimization
G Sun, B Yang, Z Yang, G Xu - Soft Computing, 2020 - Springer
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for numerical
optimization. However, the performance of DE significantly relies on its mutation operator …
optimization. However, the performance of DE significantly relies on its mutation operator …
Data analytics and optimization for smart industry
L Tang, Y Meng - Frontiers of Engineering Management, 2021 - Springer
Industrial intelligence is a core technology in the upgrading of the production processes and
management modes of traditional industries. Motivated by the major development strategies …
management modes of traditional industries. Motivated by the major development strategies …
Differential evolution with an individual-dependent mechanism
Differential evolution (DE) is a well-known optimization algorithm that utilizes the difference
of positions between individuals to perturb base vectors and thus generate new mutant …
of positions between individuals to perturb base vectors and thus generate new mutant …
Comparative analysis of low discrepancy sequence-based initialization approaches using population-based algorithms for solving the global optimization problems
Metaheuristic algorithms have been widely used to solve diverse kinds of optimization
problems. For an optimization problem, population initialization plays a significant role in …
problems. For an optimization problem, population initialization plays a significant role in …
Multiobjective multitask optimization-neighborhood as a bridge for knowledge transfer
The implicit parallelism of a population in evolutionary algorithms (EAs) provides an ideal
platform for dealing with multiple tasks simultaneously. However, little effort has been made …
platform for dealing with multiple tasks simultaneously. However, little effort has been made …
A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry
Welding is one of the most important technologies in manufacturing industries due to its
extensive applications. Welding scheduling can affect the efficiency of the welding process …
extensive applications. Welding scheduling can affect the efficiency of the welding process …