Dynamic salp swarm algorithm for feature selection

M Tubishat, S Ja'afar, M Alswaitti, S Mirjalili… - Expert Systems with …, 2021 - Elsevier
Recently, many optimization algorithms have been applied for Feature selection (FS)
problems and show a clear outperformance in comparison with traditional FS methods …

Task optimization and scheduling of distributed cyber–physical system based on improved ant colony algorithm

N Yi, J Xu, L Yan, L Huang - Future Generation Computer Systems, 2020 - Elsevier
Cyber–physical system (CPS) is the product of technological development to a certain stage,
and also is the future trends in information technology. High-performance computing ability …

Improved ant colony optimization for the vehicle routing problem with split pickup and split delivery

T Ren, T Luo, B Jia, B Yang, L Wang, L Xing - Swarm and Evolutionary …, 2023 - Elsevier
The vehicle routing problem (VRP) with split pick-up and delivery of multi-category goods is
characterized by low carbon, demand splitting and simultaneous pick-up and delivery. In …

Minimizing total carbon emissions in an integrated machine scheduling and vehicle routing problem

J Wang, S Yao, J Sheng, H Yang - Journal of Cleaner Production, 2019 - Elsevier
Integrated production and distribution scheduling are important problems in a manufacturing
system, distribution system, and system collaborative optimization. Under the carbon …

Hybrid ant colony optimization algorithm applied to the multi-depot vehicle routing problem

P Stodola - Natural computing, 2020 - Springer
The article deals with the hybrid Ant Colony Optimization algorithm and its application to the
Multi-Depot Vehicle Routing Problem (MDVRP). The algorithm combines both probabilistic …

Explicit aspects extraction in sentiment analysis using optimal rules combination

M Tubishat, N Idris, M Abushariah - Future Generation Computer Systems, 2021 - Elsevier
Aspect extraction represents a core task of aspect-based sentiment analysis. This study
presents a supervised aspect extraction algorithm for explicit aspect extraction from formal …

Energy-efficient scheduling for multi-objective two-stage flow shop using a hybrid ant colony optimisation algorithm

X Zheng, S Zhou, R Xu, H Chen - International Journal of …, 2020 - Taylor & Francis
Reducing energy costs has become an important concern for sustainable manufacturing
systems, owing to concern for the environment. We present a multi-objective hybrid ant …

Hybrid metaheuristics for the integrated and detailed scheduling of production and delivery operations in no-wait flow shop systems

MT Pereira, MS Nagano - Computers & Industrial Engineering, 2022 - Elsevier
In today's complex business environment, the optimisation of operational processes is an
essential factor for the survival of organisations. Many companies struggling to maintain …

Multi-objective permutation and non-permutation flow shop scheduling problems with no-wait: a systematic literature review

H Singh, JS Oberoi, D Singh - RAIRO-Operations Research, 2021 - rairo-ro.org
Flow shop scheduling is a type of scheduling where sequence follows for each job on a set
of machines for processing. In practice, jobs in flow shops can arrive at irregular times, and …

Ant colony optimization algorithm for scheduling jobs with fuzzy processing time on parallel batch machines with different capacities

Z Jia, J Yan, JYT Leung, K Li, H Chen - Applied Soft Computing, 2019 - Elsevier
We study the problem of scheduling on parallel batch processing machines with different
capacities under a fuzzy environment to minimize the makespan. The jobs have non …