Finding Multiple Solutions of Multimodal Optimization Using Spiral Optimization Algorithm with Clustering

An Optimization K-Modes Clustering Algorithm with Elephant Herding Optimization Algorithm for Crime Clustering

The detection and prevention of crime, in the past few decades, required several years of research and analysis. However, today, thanks to smart systems based on data mining techniques, it is possible to detect and prevent crime in a considerably less time. Classification and clustering-based smart techniques can classify and cluster the crime-related samples. The most important factor in the c...

Spiral Optimization Algorithm Using Periodic Descent Directions

A few years ago, the authors proposed a nature-inspired metaheuristic concept, the spiral optimization algorithm, which was inspired by spiral phenomena in nature. The principal idea of the algorithm is to utilize spiral trajectories generated by multiple generalized spiral models for search applications. The generalized spiral model is composed of a spiral matrix defined by a composite rotatio...

Spiral heat exchanger optimization using genetic algorithm

Crowding clustering genetic algorithm for multimodal function optimization

Interest in multimodal function optimization is expanding rapidly since real-world optimization problems often require location of multiple optima in a search space. In this paper, we propose a novel genetic algorithm which combines crowding and clustering for multimodal function optimization, and analyze convergence properties of the algorithm. The crowding clustering genetic algorithm employs...

A Genetic Algorithm with Sharing Scheme using Fuzzy Adaptive Clustering in Multimodal Function Optimization

Genetic Algorithms (GAs) are systems based upon principles from biological genetics that have been used in function optimization. However, traditional GAs have shown to be inadequate in some cases, specially multimodal functions. Niching Methods allow genetic algorithms to maintain a population of diverse individuals. GAs that incorporate these methods are capable of locating multiple, optimal ...