Multi-objective optimization for improved project management: Current status and future directions
K Guo, L Zhang - Automation in Construction, 2022 - Elsevier
To realize project management improvement, many different objectives have to be
considered simultaneously due to the nature of complexity and uncertainty in construction …
considered simultaneously due to the nature of complexity and uncertainty in construction …
Multi-objective optimization in WSN: Opportunities and challenges
Wireless sensor networks (WSNs) plays a significant role in the field of surveillance,
monitoring the real time applications. Regardless its strong ability to handle such tasks, it is …
monitoring the real time applications. Regardless its strong ability to handle such tasks, it is …
Machine learning algorithms for wireless sensor networks: A survey
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …
time applications because of its size, cost-effective and easily deployable nature. Due to …
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification
Feature selection is a key pre-processing technique for classification which aims at
removing irrelevant or redundant features from a given dataset. Generally speaking, feature …
removing irrelevant or redundant features from a given dataset. Generally speaking, feature …
Optimal planning of distributed generation and battery energy storage systems simultaneously in distribution networks for loss reduction and reliability improvement
MA Hamidan, F Borousan - Journal of Energy Storage, 2022 - Elsevier
The use of electrical energy storage system resources to improve the reliability and power
storage in distribution networks is one of the solutions that has received much attention from …
storage in distribution networks is one of the solutions that has received much attention from …
A novel multi-objective optimization strategy for enhancing quality of service in IoT-enabled WSN applications
A Prasanth, S Jayachitra - Peer-to-Peer Networking and Applications, 2020 - Springer
In today's world, the Internet of Things (IoT) has become more relevant owing to the growth
in smart grid, smart city and smart home applications. Network sustainability is considered …
in smart grid, smart city and smart home applications. Network sustainability is considered …
Energy-efficient coverage optimization in wireless sensor networks based on Voronoi-Glowworm Swarm Optimization-K-means algorithm
A Chowdhury, D De - Ad Hoc Networks, 2021 - Elsevier
Deployment of sensor nodes is one of the crucial factors in mobile wireless sensor networks
for improving the performance of the network. The network's lifetime primarily depends on …
for improving the performance of the network. The network's lifetime primarily depends on …
A survey of multiobjective evolutionary algorithms based on decomposition: Variants, challenges and future directions
Q Xu, Z Xu, T Ma - IEEE Access, 2020 - ieeexplore.ieee.org
There are many challengeable multiobjective optimization problems in different areas,
whose optimization objectives are usually diversionary. Decomposition methods and …
whose optimization objectives are usually diversionary. Decomposition methods and …
A Pareto Front grid guided multi-objective evolutionary algorithm
For multi-objective optimization problems with irregular Pareto Fronts, most widely used
decomposition methods in MOEA/D (multi-objective evolutionary algorithms based on …
decomposition methods in MOEA/D (multi-objective evolutionary algorithms based on …
Novel metaheuristic routing algorithm with optimized energy and enhanced coverage for WSNs
The distribution of sensor nodes is the key factor in mobile wireless sensor networks (WSNs)
to enhance the functionality of the network. The effectiveness of a wireless sensor network …
to enhance the functionality of the network. The effectiveness of a wireless sensor network …