scholarly journals Solving Energy-Aware Real-Time Tasks Scheduling Problem with Shuffled Frog Leaping Algorithm on Heterogeneous Platforms

Sensors ◽  
2015 ◽  
Vol 15 (6) ◽  
pp. 13778-13804 ◽  
Author(s):  
Weizhe Zhang ◽  
Enci Bai ◽  
Hui He ◽  
Albert Cheng
Keyword(s):  
Real Time ◽  
Scheduling Problem ◽  
Shuffled Frog Leaping Algorithm ◽  
Energy Aware ◽  
Heterogeneous Platforms ◽  
Tasks Scheduling ◽  
Shuffled Frog Leaping

scholarly journals An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Peiliang Wu ◽  
Qingyu Yang ◽  
Wenbai Chen ◽  
Bingyi Mao ◽  
Hongnian Yu
Keyword(s):  
Production Cycle ◽  
Scheduling Problem ◽  
Optimal Solutions ◽  
Fundamental Issue ◽  
Flowshop Scheduling ◽  
Shuffled Frog Leaping Algorithm ◽  
Permutation Flowshop ◽  
Shuffled Frog Leaping ◽  
Flowshop Scheduling Problem ◽  
The Mathematical Model

Due to the NP-hard nature, the permutation flowshop scheduling problem (PFSSP) is a fundamental issue for Industry 4.0, especially under higher productivity, efficiency, and self-managing systems. This paper proposes an improved genetic-shuffled frog-leaping algorithm (IGSFLA) to solve the permutation flowshop scheduling problem. In the proposed IGSFLA, the optimal initial frog (individual) in the initialized group is generated according to the heuristic optimal-insert method with fitness constrain. The crossover mechanism is applied to both the subgroup and the global group to avoid the local optimal solutions and accelerate the evolution. To evolve the frogs with the same optimal fitness more outstanding, the disturbance mechanism is applied to obtain the optimal frog of the whole group at the initialization step and the optimal frog of the subgroup at the searching step. The mathematical model of PFSSP is established with the minimum production cycle (makespan) as the objective function, the fitness of frog is given, and the IGSFLA-based PFSSP is proposed. Experimental results have been given and analyzed, showing that IGSFLA not only provides the optimal scheduling performance but also converges effectively.

scholarly journals An Fuzzy Trust Based Energy Aware Multipath Secure Data Collection in WSN

2018 ◽  
Vol 7 (3.27) ◽  
pp. 371
Author(s):  
Y Chitti Babu ◽  
Ch Anuradha ◽  
P Sri Rama Chandra Murty
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Shuffled Frog Leaping Algorithm ◽  
Energy Aware ◽  
Secure Data ◽  
Shuffled Frog Leaping ◽  
Data Group ◽  
Fuzzy Trust

A Wireless Sensor Network (WSN) is an array of radar nodules that energetically organize itself into a cable-less grid without utilizing any prevailing arrangement. One of the significant issues in WSNs is the drive’s intake, whereby the grid’s lifespan is reliant on this aspect. Security is another significant issues in cable-less radar grids, because of absence of wire/cable besides resource constraint’s nature. Reliance model shows a key role in fortifying the radar grids by recognizing the egotistical, malevolent and give-in nodules and separating them from message grid. Directed Random Propagation (DRP) operates two-hop vicinity data to enhance the circulation competence, leading to a reduced pack capture possibility. In this study, Shuffled Frog Leaping Algorithm (SFLA) is applied to augment ill-defined faith centered drive conscious multiple route locked data group in WSN.  

Sign in / Sign up

Export Citation Format

Share Document