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This chapter provides a brief review of bio-inspiring algorithms and their importance to solve complex optimization problems in engineering. In addition, bio-inspired algorithms used throughout the rest of the book are briefly introduced. These include Particle Swarm Optimization, Artificial Bee Colony ...
Moreover, description of algorithms in more general terms and the most successful variants of these algorithms are provided. Finally, a brief introduction to other bio-inspired computation algorithms such as glowworm swarm optimization (GSM), bacteria foraging optimization (BFO), bat-inspired algorithm...
Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life,...
This repository contains the Matlab source code to implemet the optimization of an optical taper (modeled using Comsol Multiphysics). The algorithms used were Genetic Algoritm and Particle Swarm Optimization 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 ...
Bio-inspired algorithms target to decrease the dimensions of the dataset by defining the attributes which are most discerning. This helps us to successfully and efficiently classify whether a person is suffering from any heart disease or not. Out of the four algorithms, using the binary particle ...
As a second contribution, this work elaborates on how bio-inspired algorithms need to be adapted for their use in a Big Data context, in which data fusion becomes crucial as a previous step to allow processing and mining several and potentially heterogeneous data sources. This analysis allows ...
evolutionary based bio-inspired algorithms, swarm intelligence-based bio-inspired algorithms, ecology-based bio-inspired algorithms and multi-objective bio-inspired algorithms. Bio-inspired algorithms such as neural network, ant colony algorithms, particle swarm optimization and others have been applied in ...
Bio-inspired algorithms smart buildings energy optimization occupant comfort machine learning Previous article View latest articles Next article 1. Introduction Improving Indoor Environmental Quality (IEQ) and energy consumption in smart buildings is important for enhancing occupants’ comfort while keeping en...
This paper presents state-of-art of nine of recent bio-inspired algorithms, gap analysis, and its applications namely; Genetic Bee Colony (GBC) Algorithm, Fish Swarm Algorithm (FSA), Cat Swarm Optimization (CSO), Whale Optimization Algorithm (WOA), Artificial Algae Algorithm (AAA), Elephant ...