Journal ArticleDOI
Introducing Genetic Algorithm as an Intelligent Optimization Technique
Ali Ashkzari,Aydin Azizi +1 more
TLDR
The genetic algorithm is introduced as an optimization technique for solving complex optimization problems and for applications that require adaptive problem solving strategies.Abstract:
The Genetic Algorithm (GA) is a stochastic global search method that mimics the metaphor of natural biological evolution. GA operates on a population of potential solutions applying the principle of survival of the fittest to produce (hopefully) better and better approximations to a solution. Genetic algorithms are particularly suitable for solving complex optimization problems and for applications that require adaptive problem solving strategies. Here, in this paper genetic algorithm is introduced as an optimization technique.read more
Citations
More filters
Journal ArticleDOI
Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing
TL;DR: The author has proposed a novel AI algorithm, which has been named “hybrid AI optimization technique,” to perform optimization of RNP as a hard learning problem, composed of two different optimization algorithms: Redundant Antenna Elimination (RAE) and Ring Probabilistic Logic Neural Networks (RPLNN).
Journal ArticleDOI
Applications of Artificial Intelligence Techniques to Enhance Sustainability of Industry 4.0: Design of an Artificial Neural Network Model as Dynamic Behavior Optimizer of Robotic Arms
TL;DR: The result shows that the proposed ANN model can be used instead of the complex and time-consuming GA in the process of finding the optimal parameters of the gimbal joint.
Book ChapterDOI
Hybrid Artificial Intelligence Optimization Technique
TL;DR: Calculating criteria and calculating the number of required antennas for RFID network lead to concept of RFID Network Planning (RNP) and in the higher level concept of optimizing RNP.
Journal ArticleDOI
Stacking Ensemble Tree Models to Predict Energy Performance in Residential Buildings
Ahmed Mohammed,Panagiotis G. Asteris,Mohammadreza Koopialipoor,Dimitrios E. Alexakis,Minas E. Lemonis,Danial Jahed Armaghani +5 more
TL;DR: In this paper, a new machine learning approach was proposed to evaluate the effects of eight input parameters (surface area, relative compactness, wall area, overall height, roof area, orientation, glazing area distribution, and glazing areas) on two output parameters, namely, heating load (HL) and cooling load (CL), of the residential buildings.
References
More filters
Journal ArticleDOI
Wound Healing--Aiming for Perfect Skin Regeneration
TL;DR: Details of how these signals control wound cell activities are beginning to emerge, and studies of healing in embryos have begun to show how the normal adult repair process might be readjusted to make it less like patching up and more like regeneration.
Journal ArticleDOI
Wound healing: an overview of acute, fibrotic and delayed healing.
TL;DR: This review describes the major biological processes associated with both normal and pathologic healing of acute wounds, characterized by four distinct, but overlapping phases: hemostasis, inflammation, proliferation and remodeling.
Journal ArticleDOI
Physiology and Healing Dynamics of Chronic Cutaneous Wounds
TL;DR: A review of the biochemical and physiologic processes that regulate wound healing and the cascade of cellular events that gives rise to the healing process is presented here.
Book ChapterDOI
Overview and General Considerations of Wound Repair
TL;DR: This introductory chapter attempts to outline the individual aspects of wound repair covered in the book and to arrange the extensive information into a continuum of events.