Very Large-Scale Integration Floor Planning on FIR and Lattice Filters Design With Multi-Objective Hybrid Optimization

Abstract

Floor planning is indeed an obvious design process in VLSI physical layout since it specifies the dimensions, structure, as well as positions of components upon the chip; in addition, information regarding the overarching silicon area, interlinks, and latency is also provided. VLSI floor planning is an NP-hard issue as the floor plan representations are a crucial component in this process. The intricacy, as well as solution space of the floor plan layout, is influenced by the floorplan visualizations. To tackle the VLSI floor plan challenge, numerous researchers have developed numerous meta-heuristic optimization techniques. The main objective of this work presents a novel multi-objective hybrid optimization method for solving the floor plan optimization issue. Standard DOX and ALO are conceptually combined in the proposed hybrid optimization referred to as Dingo Updated Ant Lion Optimization (DUALO) model. The multi-objectives like wire length, area, and penalty function are taken into consideration.

A Block-Wised and Sparsely-Connected ANN for the Prediction of Human Joint Moment Based on the Improved Hill Musculoskeletal Model

“…Therefore, it is of vital importance to develop an effective ANN model both to reduce the number of network connections and fully extract useful information, so that it can predict the joint moment accurately and at the same time be used in embedded systems. Swarm intelligence offers the distinct advantage of performing tasks in parallel through multiple agents, thereby enhancing efficiency and significantly reducing the time required to achieve objectives (Pondreti & Kaparapu, 2023;Wahid et al, 2023). Consequently, in this study, a novel BSANN model has been developed for human joint moment prediction based on an improved HMS model and swarm intelligence algorithm, and the prediction accuracy is not excessively reduced in fewer connections.…”