Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …

Advancements in medical technology have created numerous large datasets including
many features. Usually, all captured features are not necessary, and there are redundant …

Bat algorithm (BA) is one of the recently proposed heuristic algorithms imitating the
echolocation behavior of bats to perform global optimization. The superior performance of …

Abstract Particle Swarm Optimization (PSO) is one of the most widely used heuristic
algorithms. The simplicity and inexpensive computational cost makes this algorithm very …

The PSOGSA is a novel hybrid optimization algorithm, combining strengths of both particle
swarm optimization (PSO) and gravitational search algorithm (GSA). It has been proven that …

Many engineering optimization problems fall into the category of Mixed-Integer Nonlinear
Programming (MINLP) problems, which combine nonlinear relations, constraint conditions …

This paper focuses on solving binary optimization problems by using Tree-Seed Algorithm,
TSA for short. While TSA is firstly proposed for solving optimization problems with …

With strong penetrability and high resolution, synthetic aperture radar (SAR) images have
been widely used in remote sensing image change detection. With the essence of heuristics …

This paper proposes a novel Extended Particle Swarm Optimization model (EPSO) that
potentially enhances the search process of PSO for optimization problem. Evidently, gene …

Tree seed algorithm (TSA) is a recently proposed metaheuristic algorithm for solving
continuous optimization problems. In order to use TSA in binary optimization problems, the …