Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sanjai Pathak"'
Publikováno v:
IEEE Access, Vol 12, Pp 90331-90344 (2024)
This paper introduces a Cooperative Model of Salp Swarm Optimization (CMSSO), which combines four algorithms: Salp Swarm Algorithm (SSA), Elite Opposition Learning-based SSA (EOSSA), Elite Opposition Quantum-inspired SSA (EQSSA), and Individual Depen
Externí odkaz:
https://doaj.org/article/28e5c274624849d09bdf04ab24b8b745
Publikováno v:
IEEE Access, Vol 10, Pp 105421-105436 (2022)
Various real-world problems are essentially multiobjective optimization problems (MOPs), which involve several conflicting objectives. We propose a Quantum-inspired multiobjective Salp Swarm Algorithm based on the Decomposition technique to locate th
Externí odkaz:
https://doaj.org/article/7343c7e48c004a8aba28a5c3b32e5aa2
Publikováno v:
2022 IEEE 19th India Council International Conference (INDICON).
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Publikováno v:
2021 Asian Conference on Innovation in Technology (ASIANCON).
An Elite Opposition-based Learning Salp Swarm Algorithm (EOSSA) for the numerical optimization problems is introduced in this article. An attempt is made to introduce a hybrid model of two new paradigms: Salp Swarm Algorithm (SSA) and Elite Oppositio
Publikováno v:
Intelligence Enabled Research ISBN: 9789811592898
Many real-world applications can be cast as dynamic optimization problems where it is required to locate and track the trajectory of the changing global optima while finding the global best solution in a dynamic and uncertain environment. In this art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::864333445affe314ef4037d889c5d232
https://doi.org/10.1007/978-981-15-9290-4_3
https://doi.org/10.1007/978-981-15-9290-4_3
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030667627
Self-adaptive control parameters and reverse learning mechanism are introduced in this paper to boost the performance of Salp Swarm Algorithm (SSA), through finding an optimal trade-off between exploitation and exploration for a class of benchmark pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca8dde250e725edbfdc7b2ec2c6fb18c
https://doi.org/10.1007/978-3-030-66763-4_3
https://doi.org/10.1007/978-3-030-66763-4_3
Publikováno v:
2019 International Conference on Communication and Electronics Systems (ICCES).
The tightly coupled control plane and data plane in inbuilt hardware devices such as switches and routers are not suitable to meet the current needs of vehicular network requirements. The complexity to integrate moving devices with other high-speed m
Publikováno v:
2019 International Conference on Intelligent Computing and Control Systems (ICCS).
Vehicular Ad hoc Networks (VANETs) is a self-configuring and decentralized network that is created spontaneously for the communication between neighbouring devices and not relying on any existing infrastructure. The decentralized decisions such as ro
Publikováno v:
2018 IEEE Punecon.
Industrial Transportation System (ITS) comprises of transport vehicles and services used by industrial enterprises for moving objects (animate and inanimate) both within and outside of the organization. The current transportation infrastructure is in