Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic for optimization problems
Optimization is a ubiquitous process, integral to every human endeavor. It involves finding the most effective combination of constraints or decision variables within a defined boundary to solve a specific problem. The challenge of finding optimal solutions across various domains necessitates the use of optimization methods [1]. As such, there is a common need to develop an optimization algorithm that can handle the complexity of scientific and engineering problems....
Cost-efficient method for inverter reduction and proper placement in quantum-dot cellular automata
The Quantum-dot Cellular Automata (QCA), an emerging technology, is observed to be the most viable solution to current CMOS. It is capable of finding solutions to challenges, like high power consumptionand device density. The elementary logic primitives are the majority gate, inverter and wire. In QCA, two different event cell orientations for the realisation of the inverter are available, where the diagonally oriented structure (DOS) is mostly utilised in logic synthesis.......