Search Results - "Gu, Xingsheng"
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A discrete whale optimization algorithm for the no-wait flow shop scheduling problem
Published in Measurement and control (London) (01-11-2023)“…A discrete whale optimization algorithm (DWOA) is presented to solve the no-wait flow shop scheduling problem (NWFSSP) with the optimization objective…”
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Journal Article -
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Multi-block statistics local kernel principal component analysis algorithm and its application in nonlinear process fault detection
Published in Neurocomputing (Amsterdam) (01-02-2020)“…It is vital for fault detection technology to extract features of industrial process data effectively. Local kernel principal component analysis (LKPCA) has…”
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Cooperative hybrid evolutionary algorithm for large scale multi-stage multi-product batch plants scheduling problem
Published in Neurocomputing (Amsterdam) (02-01-2021)“…•A novel cooperative hybrid evolutionary algorithm is designed for large scale MMSP.•Hybrid assignment and selection strategies are proposed based on the CC…”
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4
An improved discrete artificial bee colony algorithm to minimize the makespan on hybrid flow shop problems
Published in Neurocomputing (Amsterdam) (19-01-2015)“…As a typical NP-hard combinatorial optimization problem, the hybrid flow shop (HFS) problem is widely existing in manufacturing systems. In this article, the…”
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Journal Article Conference Proceeding -
5
Welding robot path planning problem based on discrete MOEA/D with hybrid environment selection
Published in Neural computing & applications (01-10-2021)“…Welding robot path planning gradually has increasingly widespread attention in automatic production on account of improving the production efficiency in the…”
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6
A hybrid discrete differential evolution algorithm for the no-idle permutation flow shop scheduling problem with makespan criterion
Published in Computers & operations research (01-09-2012)“…This paper presents a hybrid discrete differential evolution (HDDE) algorithm for the no-idle permutation flow shop scheduling problem with makespan criterion,…”
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A novel competitive co-evolutionary quantum genetic algorithm for stochastic job shop scheduling problem
Published in Computers & operations research (01-05-2010)“…In this paper, a novel competitive co-evolutionary quantum genetic algorithm (CCQGA) is proposed for a stochastic job shop scheduling problem (SJSSP) with the…”
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Cross-CBAM: a lightweight network for real-time scene segmentation
Published in Journal of real-time image processing (01-04-2024)“…Real-time semantic segmentation poses a significant challenge in scene parsing. Despite traditional semantic segmentation networks have made remarkable…”
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Domain generalization for video anomaly detection considering diverse anomaly types
Published in Signal, image and video processing (01-06-2024)“…In intelligent video surveillance, anomaly detection is conducted to identify the occurrence of abnormal events by monitoring the video captured by vision…”
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A hybrid co-evolutionary cultural algorithm based on particle swarm optimization for solving global optimization problems
Published in Neurocomputing (Amsterdam) (03-12-2012)“…Intelligent evolutionary algorithms have been widely used to solve large-scale, complex global optimization problems. Co-evolutionary algorithm (CEA), cultural…”
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Particle swarm optimization combined with genetic operators for job shop scheduling problem with fuzzy processing time
Published in Applied mathematics and computation (01-11-2008)“…Job shop scheduling problem is a NP-hard problem. The processing time for each job is often imprecise in many real-world applications and the imprecision in…”
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Journal Article Conference Proceeding -
12
An Improved Discrete Migrating Birds Optimization Algorithm for the No-Wait Flow Shop Scheduling Problem
Published in IEEE access (2020)“…An improved discrete migrating birds optimization (IDMBO) algorithm is presented in this work to solve the no-wait flow shop scheduling problem (NWFSSP) with…”
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13
A novel parallel quantum genetic algorithm for stochastic job shop scheduling
Published in Journal of mathematical analysis and applications (01-07-2009)“…In this paper, a Novel Parallel Quantum Genetic Algorithm (NPQGA) is proposed for the stochastic Job Shop Scheduling Problem with the objective of minimizing…”
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14
Distributed Flexible Job-Shop Scheduling Problem Based on Hybrid Chemical Reaction Optimization Algorithm
Published in Complex System Modeling and Simulation (01-06-2022)“…Economic globalization has transformed many manufacturing enterprises from a single-plant production mode to a multi-plant cooperative production mode. The…”
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A data-driven rolling-horizon online scheduling model for diesel production of a real-world refinery
Published in AIChE journal (01-04-2013)“…A rolling‐horizon optimal control strategy is developed to solve the online scheduling problem for a real‐world refinery diesel production based on a…”
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A similar particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan
Published in Applied mathematics and computation (01-04-2006)“…The flow-shop scheduling problem (FSSP) is a branch of production scheduling, which is among the hardest combinatorial optimization problems. It is well known…”
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17
A similar particle swarm optimization algorithm for job-shop scheduling to minimize makespan
Published in Applied mathematics and computation (15-12-2006)“…The job-shop scheduling problem (JSSP) is a branch of production scheduling, and it is well known that this problem is NP-hard. Many different approaches have…”
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18
Welding Robot Collision-Free Path Optimization
Published in Applied sciences (2017)“…Reasonable welding path has a significant impact on welding efficiency, and a collision-free path should be considered first in the process of welding robot…”
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19
On the Detection of Fake Certificates via Attribute Correlation
Published in Entropy (Basel, Switzerland) (01-06-2015)“…Transport Layer Security (TLS) and its predecessor, SSL, are important cryptographic protocol suites on the Internet. They both implement public key…”
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Chance constrained programming models for refinery short-term crude oil scheduling problem
Published in Applied mathematical modelling (01-03-2009)“…The main objective of this work is to put forward chance constrained mixed-integer nonlinear stochastic and fuzzy programming models for refinery short-term…”
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