Swarm Intelligence (SI) algorithms are frequently applied to tackle complex optimization problems. SI is especially used when good solutions are requested
Increasing numbers of research articles position themselves within the theme of 'swarm intelligence', and there are growing numbers of algorithms that claim inspiration from swarm behaviour in nature. Broadly speaking, given the ways in which a wide variety of naturalDW Corne...
multiagent-systemsswarmshacktoberfestshepherdingswarm-intelligenceswarm-intelligence-algorithmsswarm-roboticsmultiagent-planninghacktoberfest-acceptedhacktoberfest2022 UpdatedOct 16, 2020 Python This is a repository which contains all the code for the Spider Monkey Optimization Algorithm, associated with Chapter...
This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of ...
swarm intelligence algorithms. Articles that combine experimental and theoretical work are especially welcome. Swarm Intelligence is the main journal in the field of Swarm Intelligence. The Editor in Chief, Marco Dorigo is one of the most notable researchers in the field of Swarm Intelligence. Dr. ...
intelligence Algorithms PSO algorithms ACO algorithms Fireworks algorithms Fish school search Bees algorithms ABC algorithms BSO algorithms Cultural algorithms Social computing Genetic algorithms Differential evolution Memetic algorithms Bioinspired algorithm Cuckoo / Firefly / Bat / Pelican Algorithms Biogeography-...
Ant colony optimization (ACO) has been successfully applied to classification, where the aim is to build a model that captures the relationships between th
Swarm intelligence (SI), as one of the population-based meta-heuristic algorithms, was introduced in 199317 and defined as “The emergent collective intelligence of groups of simple agents.”18 The primary sources of inspiration for SI approaches are natural flocks, gray wolves, and colonies. ...
Optimizing SVM classification in medical datasets: A comparative study of swarm intelligence algorithms for feature selection and parameter tuning Support Vector Machine (SVM) modelling approach focuses on dimensional reduction with a powerful generalization capability to solve problems such as non-linearity,...
Excluding introduction, the paper has seven sections. The second section provides details about the major algorithms used for formulating the proposed algorithm and a summary of literature. Section three details the requirement of the proposal, basic motivation, and extended novelty of the proposed work...