Intelligent optimization: Literature review and state-of-the-art algorithms (1965–2022)
A Mohammadi, F Sheikholeslam - Engineering Applications of Artificial …, 2023 - Elsevier
Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …
Management science in the era of smart consumer products: challenges and research perspectives
Smart products not only provide novel functionalities, but also may establish new business
models, markets, or distribution channels, strengthen relationships with consumers, and/or …
models, markets, or distribution channels, strengthen relationships with consumers, and/or …
[HTML][HTML] An hybrid particle swarm optimization with crow search algorithm for feature selection
A Adamu, M Abdullahi, SB Junaidu… - Machine Learning with …, 2021 - Elsevier
The recent advancements in science, engineering, and technology have facilitated huge
generation of datasets. These huge datasets contain noisy, redundant, and irrelevant …
generation of datasets. These huge datasets contain noisy, redundant, and irrelevant …
Multiobjective vehicle routing problems with simultaneous delivery and pickup and time windows: Formulation, instances, and algorithms
This paper investigates a practical variant of the vehicle routing problem (VRP), called VRP
with simultaneous delivery and pickup and time windows (VRPSDPTW), in the logistics …
with simultaneous delivery and pickup and time windows (VRPSDPTW), in the logistics …
[图书][B] Multi-objective management in freight logistics
M Caramia, P Dell'Olmo - 2008 - Springer
After more than 10 years from the first edition of this book, the need for multi-objective
optimization models in freight logistics is still growing. Companies engineer always more …
optimization models in freight logistics is still growing. Companies engineer always more …
Parameterisation of demand-driven material requirements planning: a multi-objective genetic algorithm
D Damand, Y Lahrichi, M Barth - International Journal of …, 2023 - Taylor & Francis
Demand-Driven Material Requirements Planning (DDMRP) is a recent inventory
management method that has generated considerable interest in both academia and …
management method that has generated considerable interest in both academia and …
MOMRFO: Multi-objective Manta ray foraging optimizer for handling engineering design problems
Despite its recent appearance, manta ray foraging optimizer (MRFO) has shown a good
ability to deal with single-objective real-world problems, which makes its application in …
ability to deal with single-objective real-world problems, which makes its application in …
An effective multiobjective algorithm for energy-efficient scheduling in a real-life welding shop
Welding, an irreplaceable process in the modern manufacturing industry, consumes
enormous amounts of energy. The schedule in a welding shop greatly impacts both its …
enormous amounts of energy. The schedule in a welding shop greatly impacts both its …
A novel multi-objective wrapper-based feature selection method using quantum-inspired and swarm intelligence techniques
Feature selection plays a pivotal role in machine learning, serving as a critical
preprocessing step. Its impact extends beyond enhancing the classification capabilities of …
preprocessing step. Its impact extends beyond enhancing the classification capabilities of …
[HTML][HTML] A hybrid modified-NSGA-II VNS algorithm for the Multi-Objective Critical Disruption Path Problem
D Granata, A Sgalambro - Computers & Operations Research, 2023 - Elsevier
This paper considers a Multiple Objective variant of the Critical Disruption Path problem to
extend its suitability in a range of security operations relying on path-based network …
extend its suitability in a range of security operations relying on path-based network …