Bio Inspired Optimization Algorithms in Disaster

Devi, S. Aicevarya; Vijayalakshmi, C.

doi:10.1016/j.procs.2020.05.027

Cited by 4 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, meta-heuristics are problem-independent approaches, though heuristics are problem specific. This heuristic technique helps with taking care of the complex problem [ 83 ]. Biological behaviour-influenced algorithms are known as bio-inspired stochastic algorithms.…”

Section: Network Optimizationmentioning

confidence: 99%

A Survey and Tutorial on Network Optimization for Intelligent Transport System Using the Internet of Vehicles

Panigrahy¹,

Emany²

2023

Sensors

View full text Add to dashboard Cite

The Internet of Things (IoT) has risen from ubiquitous computing to the Internet itself. Internet of vehicles (IoV) is the next emerging trend in IoT. We can build intelligent transportation systems (ITS) using IoV. However, overheads are imposed on IoV network due to a massive quantity of information being transferred from the devices connected in IoV. One such overhead is the network connection between the units of an IoV. To make an efficient ITS using IoV, optimization of network connectivity is required. A survey on network optimization in IoT and IoV is presented in this study. It also highlights the backdrop of IoT and IoV. This includes the applications, such as ITS with comparison to different advancements, optimization of the network, IoT discussions, along with categorization of algorithms. Some of the simulation tools are also explained which will help the research community to use those tools for pursuing research in IoV.

show abstract

Section: Network Optimizationmentioning

confidence: 99%

A Survey and Tutorial on Network Optimization for Intelligent Transport System Using the Internet of Vehicles

Panigrahy¹,

Emany²

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…However, broadening the range and development of bioinspired methods for analysing new areas of application is necessary to overcome one of its drawbacks, which is the lack of balance amongst its elements [74][75][76].…”

Section: Ai Computer Science and Robotics Technology 3/40mentioning

confidence: 99%

Particle Swarm Optimization with a Simplex Strategy to Avoid Getting Stuck on Local Optimum

Steffen

2022

ACRT

View full text Add to dashboard Cite

Heuristic methods, for global optimization, have been receiving much interest in the last years, among which Particle Swarm Optimization (PSO) algorithm can be highlighted. However, the application of heuristic methods can lead to premature convergence. In this work, the addition of a step on the PSO algorithm is proposed. This new step, based in Nelder–Mead simplex search method (NM), consists of repositioning the current particle with global best solution, not for a better position, but away from the current nearest local optimum, to avoid getting stuck on this local optimum. There are other PSO-NM algorithms, but the one we are proposing, has a different strategy. The proposed algorithm was also tested with the repositioning strategy in other particles beyond the current global best particle, depending on the repositioning probability. To evaluate the effectiveness of the proposed methods, and study its better parameters, were used various test functions, and for each test function, various number of particles were used in combination with various probabilities of particles repositioning. A thousand runs were performed for each case, resulting in more than two millions runs. The computational studies showed that the repositioning of of global best particle increases the percentage of success on reaching the global best solution, but better results can be obtained applying the repositioning strategy to other particles with repositioning probabilities between 1–5%.

show abstract

Emperor penguin optimizer: A comprehensive review based on state-of-the-art meta-heuristic algorithms

Khalid¹,

Isa²,

Sakim³

2023

Alexandria Engineering Journal

View full text Add to dashboard Cite

Bio Inspired Optimization Algorithms in Disaster

Cited by 4 publications

References 6 publications

A Survey and Tutorial on Network Optimization for Intelligent Transport System Using the Internet of Vehicles

A Survey and Tutorial on Network Optimization for Intelligent Transport System Using the Internet of Vehicles

Particle Swarm Optimization with a Simplex Strategy to Avoid Getting Stuck on Local Optimum

Emperor penguin optimizer: A comprehensive review based on state-of-the-art meta-heuristic algorithms

Contact Info

Product

Resources

About