Presents a QUBO formulation framework for kinematic structure-based robot design optimization, demonstrated on a 27-variable robotic hand case study using simulated and quantum annealing to obtain feasible designs.
A Brief Review of Nature-Inspired Algorithms for Optimization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based on swarm intelligence, biological systems, physical and chemical systems. Therefore, these algorithms can be called swarm-intelligence-based, bio-inspired, physics-based and chemistry-based, depending on the sources of inspiration. Though not all of them are efficient, a few algorithms have proved to be very efficient and thus have become popular tools for solving real-world problems. Some algorithms are insufficiently studied. The purpose of this review is to present a relatively comprehensive list of all the algorithms in the literature, so as to inspire further research.
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A QUBO Formulation Framework for Kinematic Structure-Based Robot Design Optimization: A Robotic Hand Case Study
Presents a QUBO formulation framework for kinematic structure-based robot design optimization, demonstrated on a 27-variable robotic hand case study using simulated and quantum annealing to obtain feasible designs.