In most existing studies on dynamic multimodal optimization (DMMO), numerical simulations have been performed using the Moving Peaks Benchmark (MPB), which is a two-decade-old test suite that cannot simulate some critical aspects of DMMO problems. This study proposes Deterministic Distortion and Rotation (DDRB), method to generate deterministic problems can more diverse types challenges when co...

In this study, it is aimed to increase the success of Runge Kutta (RUN) algorithm, which used in solution many optimization problems literature, on fixed-size test functions by changing parameter values. Optimization can be defined as making a system most efficient at least possible cost under certain constraints. For process, algorithms have been designed literature and obtain best solutions f...

Artificial bee colony (ABC) algorithm, inspired by the intelligent foraging behavior of honey bees, was proposed by Karaboga. It has been shown to be superior to some conventional intelligent algorithms such as genetic algorithm (GA), artificial colony optimization (ACO), and particle swarm optimization (PSO). However, the ABC still has some limitations. For example, ABC can easily get trapped ...

Tracking of immune cells in vivo is a crucial tool for development and optimization of cell-based therapy. Techniques for tracking immune cells have been applied widely for understanding the intrinsic behavior of immune cells and include non-radiation-based techniques such as optical imaging and magnetic resonance imaging (MRI), radiation-based techniques such as computerized tomography (CT), a...

Most evolutionary multi-objective optimization (EMO) methods use domination and nichepreserving principles in their selection operation to find a set of Pareto-optimal solutions in a single simulation run. However, classical generative multi-criterion optimization methods repeatedly solve a parameterized single-objective problem to achieve the same. Due to lack of parallelism in the classical g...

The hippocampus is a structure in the medial temporal lobe of the brain that is involved in episodic memory function. The texture features of the hippocampus could give better differentiation between Alzheimer’s disease and normal controls. The localization of the hippocampus structure in MRI histological images is considered as a multimodal global continuous optimization problem, which is solv...

This paper proposes an improved algorithm of Particle Swarm Optimization (PSO) based on stage-structured algorithm and added features to enhance the ability of finding the global optimum in multimodal multi-dimensional optimization problems, which may have local optima, using low computational effort. Search space clustering based on Euclidian distance, particles crossover and mutation are adde...