Because of successful implementations and high intensity, metaheuristic research has been
extensively reported in literature, which covers algorithms, applications, comparisons, and …

This paper presents a new metaheuristic algorithm called Trees Social Relations
Optimization Algorithm (TSR). TSR inspired by the hierarchical and collective life of trees in …

Nature-inspired meta-heuristic algorithms (NIMAs) combine the properties of nature-inspired
and mete-heuristic algorithms. Evolutionary inspired and swarm-inspired algorithms are the …

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a
comprehensive introduction to the methodologies and algorithms in nature-inspired …

The design of the novel metaheuristic method, called Topological Variable Neighborhood
Search, is presented and its theoretical properties are elaborated. The proposed …

This paper presents a new Electromagnetism-like Mechanism (EM) algorithm with Split,
Probe and Compare feature (SPC-EM). The proposed algorithm replaces the local search …

This paper introduces an electromagnetism-like (EM) approach for solving the problem of
parameter tuning in the support vector machine (SVM). The proposed method is used to …

Abstract An Electromagnetism-like Mechanism algorithm (EM) is a metaheuristic search
algorithm known for its ability to solve complex global optimization problems. In a standard …

This paper concerns the problem of fitting curves to data points, a classical optimization
problem in Computer-Aided Geometric Design (CAGD) and CAD/CAM. This issue plays an …

Research in biomedicine is faced with various problems connected to high-throughput
processing–the need to handle the high frequency of incoming data and its high …