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Multi-objective Hybrid Particle Swarm Optimization and its Application to Analog and RF Circuit Optimization by Deepak Joshi; Satyabrata Dash; Sushanth Reddy; Rahul Manigilla; Gaurav Trivedi is a Engineering article available to read on EtoBox.
What is Multi-objective Hybrid Particle Swarm Optimization and its Application to Analog and RF Circuit Optimization about?
The presence of RF components in mixed-signal circuits make it a challenging task to resolve tradeoffs among performance specifications. In order to ease the process of circuit design, these tradeoffs are being analyzed using multi-objective optimization methodologies. This paper presents a hybrid multi-objective optimization framework (MHPSO), a combination of particle swarm optimization and simulated annealing. The framework emphasizes on preserving nondominated solutions in an external archive. The multi-dimensional space excluding the archive is divided into several sub-spaces according to a velocity-temperature mapping scheme. Further, the solutions in each sub-space are optimized using simulated annealing for generation of a Pareto front. The framework is extended by incorporating crowding distance comparison operator (MHPSO-CD) to maintain nondominated solutions in the archive. The effectiveness of proposed methodologies is demonstrated for performance space exploration of three B Deepak Joshi
Who reads Multi-objective Hybrid Particle Swarm Optimization and its Application to Analog and RF Circuit Optimization?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Deepak Joshi; Satyabrata Dash; Sushanth Reddy; Rahul Manigilla; Gaurav Trivedi
- Publisher
- Springer Science and Business Media LLC
- Published
- 2023
- Language
- EN
- Field
- Engineering (Physical Sciences)
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