In this work, we explore a novel multi-objective optimization algorithm to identify a set of
solutions that could be optimal for more than one task. The proposed approach is used to …

In many diagnostic imaging settings, including positron emission tomography (PET), images
are typically used for multiple tasks such as detecting disease and quantifying disease. …

This work presents a novel nature-inspired metaheuristic called Nutcracker Optimization
Algorithm (NOA) inspired by Clark’s nutcrackers. The nutcrackers exhibit two distinct behaviors …

Artificial neural networks are one of the most commonly used methods in machine learning.
Performance of network highly depends on the learning method. Traditional learning …

This study presents a novel physics-based metaheuristic algorithm called Kepler optimization
algorithm (KOA), inspired by Kepler’s laws of planetary motion to predict the position and …

This work presents a new nature-inspired meta-heuristic algorithm named spider wasp
optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating …

Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …

Due to the global progress, the optimization problems are becoming more and more complex.
Hence, deterministic and heuristic approaches are no longer adequate for dealing with …

Numerous optimization problems can be addressed using metaheuristics instead of
deterministic and heuristic approaches. This study proposes a novel population-based …

This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of …