Titlebook: Applied Optimization and Swarm Intelligence; Eneko Osaba,Xin-She Yang Book 2021 The Editor(s) (if applicable) and The Author(s), under exc

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A Review on Ensemble Methods and their Applications to Optimization Problems,al problems in a class. However, for specific problems, we can find algorithms which work better than others, and of course, a superior algorithm in terms of performance and computation time. In the last years, there have been an important work in the development of . meta-heuristic approaches to so

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A Brief Overview of Swarm Intelligence-Based Algorithms for Numerical Association Rule Mining, means that the algorithms for dealing with this problem can operate directly, not only with categorical, but also with numerical attributes. Until recently, a big portion of these algorithms were based on a stochastic nature-inspired population-based paradigm. As a result, evolutionary and swarm in

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Review of Swarm Intelligence for Improving Time Series Forecasting, in data centers, load schedule in smart grids to energy consumption forecasting, and guiding investor’s decision and trade. This chapter provides a review of some existing swarm intelligence algorithms applied for solving time series forecasting problems by training and optimizing their corresponde

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Soccer-Inspired Metaheuristics: Systematic Review of Recent Research and Applications,concepts have gained great popularity, lasting this momentum until the present day. For the modeling of these algorithms, a myriad of inspirational sources have been deemed. Some examples of inspiration are the behavioral patterns of animals, genetic inheritance mechanisms, physical phenomena or soc

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Nature-Inspired Optimization Algorithms for Path Planning and Fuzzy Tracking Control of Mobile Roboportional-Integral (PI)-fuzzy controllers as tracking controllers for nonholonomic wheeled mobile robots in static environments. Two optimization problems are solved by NIOAs and included first in an off-line path planning approach that generates the reference trajectory and next a cost-effective PI

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A Hardware Architecture and Physical Prototype for General-Purpose Swarm Minirobotics: Proteus II,elatively simple agents interacting locally with one another and with the environment. It takes its inspiration from the surprising collective behavior of colonies of several social insects (ants, fireflies, bees, wasps) and other groups of animals (fish schooling, animal herding, bird flocking, haw

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Evolving a Multi-objective Optimization Framework,2006, and it is continuously evolving. In this chapter, we describe a set of new features that are in current development, aimed at facilitating the analysis of the results of executing multi-objective algorithms and at to improve the usability of jMetal to solve real-world problems. Concretely, we