A survey of multi-objective optimization in wireless sensor networks: Metrics, algorithms, and open problems

Z Fei, B Li, S Yang, C Xing, H Chen… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) have attracted substantial research interest, especially in
the context of performing monitoring and surveillance tasks. However, it is challenging to …

A survey on WSN issues with its heuristics and meta-heuristics solutions

A Srivastava, PK Mishra - Wireless Personal Communications, 2021 - Springer
A wireless sensor networks (WSN's) has stimulated significant research work among the
researchers in monitoring and tracking tasks. It'sa quite challenging task that needs to cope …

An efficient PSO algorithm for finding Pareto-frontier in multi-objective job shop scheduling problems

W Wisittipanich, V Kachitvichyanukul - Industrial Engineering and …, 2013 - koreascience.kr
In the past decades, several algorithms based on evolutionary approaches have been
proposed for solving job shop scheduling problems (JSP), which is well-known as one of the …

A survey and future trend of study on multi-objective scheduling

XJ Wang, CY Zhang, L Gao… - 2008 Fourth International …, 2008 - ieeexplore.ieee.org
In this paper we give a survey of multi-objective scheduling that have appeared in the
literature or are to appear. Firstly, some basic concepts about multi-objective optimization …

PyMissingAHP: An Evolutionary Algorithm for Filling Missing Values in Incomplete Pairwise Comparisons Matrices with Real or Fuzzy Numbers via Mono and …

MC Heymann, V Pereira, RGG Caiado - Arabian Journal for Science and …, 2024 - Springer
Abstract The Analytic Hierarchy Process (AHP) is a multi-criteria decision-making method
that relies on constructing a pairwise comparison matrix (PCM) based on decision …

Hybrid evolutionary approach for multi-objective job-shop scheduling problem

KSN Ripon - Malaysian Journal of Computer Science, 2007 - ojie.um.edu.my
Over the years, various evolutionary approaches have been proposed in efforts to solve the
Job-Shop Scheduling Problem (JSSP), a particularly hard combinatorial optimization …

Global bacteria optimization meta-heuristic algorithm for jobshop scheduling

JR Montoya-Torres, LS Gómez-Vizcaíno… - International Journal of …, 2010 - igi-global.com
This paper examines the problem of jobshop scheduling with either makespan minimization
or total tardiness minimization, which are both known to be NP-hard. The authors propose …

A survey on fundamental of wireless sensor network with various issues in optimization

K Dubey, P Kumar, P Pathak, S Kumar… - 2019 3rd …, 2019 - ieeexplore.ieee.org
Wireless Sensor Network (WSN) is becoming the very provocative model to executing the
surveillance tasks and monitoring. In spite of that there are many challenges grow …

A Pareto-based differential evolution algorithm for multi-objective job shop scheduling problems

W Wisittipanich, V Kachitvichyanukul - Proceedings of the Institute of …, 2013 - Springer
This paper presents a multi-objective differential evolution algorithm (MODE) and its
application for solving multi-objective job shop scheduling problems. Five mutation …

Solving a multi-objective flexible job shop scheduling problem with timed Petri nets and genetic algorithm

H Huang, T Lu - Discrete Mathematics, Algorithms and Applications, 2010 - World Scientific
The method presented in this paper is used to solve flexible job shop scheduling problem
(JSP) with multiple objectives, which is much more complex than the classical JSP. Based …