New generation deep learning for video object detection: A survey
Video object detection, a basic task in the computer vision field, is rapidly evolving and
widely used. In recent years, deep learning methods have rapidly become widespread in the …
widely used. In recent years, deep learning methods have rapidly become widespread in the …
Multi-objective optimization methods and application in energy saving
Y Cui, Z Geng, Q Zhu, Y Han - Energy, 2017 - Elsevier
Multi-objective optimization problems are difficult to solve in that the optimized objectives are
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …
A new arithmetic optimization algorithm for solving real-world multiobjective CEC-2021 constrained optimization problems: diversity analysis and validations
In this paper, a new Multi-Objective Arithmetic Optimization Algorithm (MOAOA) is proposed
for solving Real-World constrained Multi-objective Optimization Problems (RWMOPs). Such …
for solving Real-World constrained Multi-objective Optimization Problems (RWMOPs). Such …
Multiobjective evolutionary algorithms: A survey of the state of the art
A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …
The defect of the Grey Wolf optimization algorithm and its verification method
P Niu, S Niu, L Chang - Knowledge-Based Systems, 2019 - Elsevier
Grey wolf optimization algorithm (GWO) is a new meta-heuristic optimization technology. Its
principle is to imitate the behavior of grey wolves in nature to hunt in a cooperative way …
principle is to imitate the behavior of grey wolves in nature to hunt in a cooperative way …
A three-tier programming model for service composition and optimal selection in cloud manufacturing
The process of service composition and optimal selection in cloud manufacturing (CMfg-
SCOS) involves three types of users: service demanders, resource providers, and cloud …
SCOS) involves three types of users: service demanders, resource providers, and cloud …
Swarm intelligence for next-generation networks: Recent advances and applications
In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
Design of a hybrid energy management system using designed rule‐based control strategy and genetic algorithm for the series‐parallel plug‐in hybrid electric vehicle
Electric vehicle (EV) is considered as a critical requirement to the future development of
transportation. However, the battery performance in terms of power density and energy …
transportation. However, the battery performance in terms of power density and energy …
Multi-objective optimization of machining parameters considering energy consumption
Q Wang, F Liu, X Wang - The International Journal of Advanced …, 2014 - Springer
This paper deals with multi-objective optimization of machining parameters for energy
saving. Three objectives including energy, cost, and quality are considered in the …
saving. Three objectives including energy, cost, and quality are considered in the …
Rethinking bias mitigation: Fairer architectures make for fairer face recognition
Face recognition systems are widely deployed in safety-critical applications, including law
enforcement, yet they exhibit bias across a range of socio-demographic dimensions, such as …
enforcement, yet they exhibit bias across a range of socio-demographic dimensions, such as …