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Keyword: EvolutionaryBeyond Fitness: Revolutionary Exercise Tracker Combining Pose Recognition with Heart Rate Monitoring using Remote Photoplethysmography (rPPG)
Heart rate (HR) is a critical indicator in fitness monitoring, athletic performance evaluation, and injury prevention. However, traditional motion-sensitive wearable devices are highly susceptible to movement artifacts, which degrade measurement accuracy during physical activity. Remote photoplethysmography (rPPG) offers a non-contact alternative for HR measurement, though it too remains sensitive to motion. This study proposes a…
Read MoreBoltzmann-Based Distributed Control Method: An Evolutionary Approach using Neighboring Population Constraints
In control systems, several optimization problems have been overcome using Multi-Agent Sys- tems (MAS). Interactions of agents and the complexity of the system can be understood by using MAS. As a result, functional models are generated, which are closer to reality. Nevertheless, the use of models with permanent availability of information between agents is assumed…
Read MoreShape Optimization of Planar Inductors for RF Circuits using a Metaheuristic Technique based on Evolutionary Approach
In this article, we concentrate on the use of a metaheuristic technique based on an Evolutionary Algorithm (EA) for determining the optimal geometrical parameters of spiral inductors for RF circuits. For this purpose, we have opted for an optimization procedure through an enhanced Differential Evolution (DE) algorithm. The proposed tool allows the design of optimized…
Read MoreEvolutionary Quantum Technology: The Future with Holographic Plasma Voxel
This current situation will affect the future, technology models that are unthinkable or which impossible to happen pops up one by one. Like the hologram, this technology began to develop as a solution to increase user comfort in operating a system that is needed. This paper explains the development of hologram technology that is currently…
Read MoreOptimization of Sheet Material Layout in Industrial Production Using Genetic Algorithms
We address irregular polygon nesting on sheet materials with a lightweight evolutionary framework that operates directly in the layout space. The method formalizes multi-term fitness combining utilization, overlap penalties, spacing regularity, and local alignment, with all components normalized before aggregation. Feasibility is enforced by an AABB– SAT pipeline and validated via analytic ground-truth cases, degenerate…
Read MoreControl Program Generator for Vehicle Robot using Grammatical Evolution
A robot development has spread widely for various purposes. It is difficult to create a control program for an autonomous mobile robot manually. Therefore, an automatic design of the control program for an autonomous mobile robot is proposed in this research. The autonomous mobile robot is created with LEGO MINDSTORMS EV3, and the control program…
Read MoreOn the Prediction of One-Year Ahead Energy Demand in Turkey using Metaheuristic Algorithms
Estimation of energy demand has important implications for economic and social stability leading to a more secure energy future. One-year-ahead energy demand estimation for Turkey has been proposed in this paper, using the metaheuristics method with GDP, the total population, and the quantities of imports and exports, as inputs variables. The records obtained from historical…
Read MoreiDRP Framework: An Intelligent Malware Exploration Framework for Big Data and Internet of Things (IoT) Ecosystem
The Internet of Things (IoT) is at a face paced growth in the advanced Industrial Revolution (IR) 4.0 in the modern digital world. Considering the current network security challenges and sophistication of attacks in the heavily computerized and interconnected systems, such as an IoT ecosystem, the need for an innovative, robust, intelligent and adaptive malware…
Read MoreA New Video Based Emotions Analysis System (VEMOS): An Efficient Solution Compared to iMotions Affectiva Analysis Software
The Micro-facial expression is the most effective way to display human emotional state. But it needs an expert coder to be decoded. Recently, new computer vision technologies have emerged to automatically extract facial expressions from human faces. In this study, a video-based emotion analysis system is implemented to detect human faces and recognize their emotions…
Read MoreMulti-Objective Design of Current Conveyor using Optimization Algorithms
The design of microelectronic systems is often complex, therefore metaheuristics can be of a great interest, because in most cases these systems have conflicting objectives and constraints. In this paper, we demonstrate the application of multi-criteria design strategies to a CMOS current conveyor. This provides designers with the ability to develop solutions that can meet…
Read MoreParameter Estimation for Industrial Robot Manipulators Using an Improved Particle Swarm Optimization Algorithm with Gaussian Mutation and Archived Elite Learning
This work presents the analysis and formulation for optimizing the dynamic model and parameter estimation of all the six joints of a 6DOF industrial robot manipulator by utilizing swarm intelligence to optimize two excitation trajectories for the first three links at the arm and the last three links at the wrist of the robot manipulator.…
Read MoreGenetic Organization and Evolution of Electromechanical Objects with Adaptive Geometry of Active Zone
The paper is devoted to the presentation of a new methodological approach (new philosophy) to the formulation and solution of directed search and synthesis of electromechanical objects for a given function problems. The object under the study is a class of electrical machines and electromechanical devices which operation is carried out with a variable structure…
Read MoreEstimation of Influential Parameter Using Gravitational Search Optimization Algorithm for Soccer
Competitive sport has one phenomenal or fundamental aspect of selecting players into playing squad for a game that can influence a Club or a team in almost all major aspects. Various Characteristics or behavioral aspects of players will be instrumental towards the selection of a specific player into a team depending on the nature, level,…
Read MoreUsing Metaheuristics-Based Methods to Provide Sustainable Market Solutions, Suitable to Consumer Needs
Nowadays the buildings sector is one of the key sectors to achieve sustainability, with the correspondent consumers, in particular, the household consumers, having the need to perform sustainable choices every day, regarding the appliances to be acquired from the market. This is not only due to government’s growing concerns about sustainability but also with the…
Read MoreCurrent Trends and Challenges in Link Prediction Methods in Dynamic Social Networks: A Literature Review
In more recent times, researchers have turned their attention to link prediction and the role link inference can play in better understanding the evolutionary nature of social networking sites. The objective of this paper is to present an in-depth review, analysis, and discussion of the cutting-edge link prediction methods that can be applied to better…
Read MoreMultiple-Optimization based-design of RF Integrated Inductors
In this paper, a multiple-objective Metaheuristics study is discussed. Initially, three mono-objective metaheuristics will be explored in order to design and optimize Radio-Frequency integrated inductors. These metaheuristics are: An evolutionary algorithm called The Differential Evolution (DE), An algorithm supported on Newton’s laws of gravity and motion called the Gravitational Search Algorithm (GSA) and, finally, A…
Read MoreMulti-Objective Path Optimization of a Satellite for Multiple Active Space Debris Removal Based on a Method for the Travelling Serviceman Problem
Space debris removal is currently a critical issue for space development. It has been reported that five pieces of debris should be removed each year to avoid further increase in the amount of debris in orbit. One approach for the removal of multiple pieces of debris is to launch multiple satellites that can each remove…
Read MoreEstimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System
Interconnection of the power system utilities and grids offers a formidable dispute in front of design engineers. With the interconnections, power system has emerged as a more intricate and nonlinear system. Recent years small signal stability problems have achieved much significance along with the conventional transient constancy problems. Transient stability of the power system can…
Read MoreOptimisation of Software-Defined Networks Performance Using a Hybrid Intelligent System
This paper proposes a novel intelligent technique that has been designed to optimise the performance of Software Defined Networks (SDN). The proposed hybrid intelligent system has employed integration of intelligence-based optimisation approaches with the artificial neural network. These heuristic optimisation methods include Genetic Algorithms (GA) and Particle Swarm Optimisation (PSO). These methods were utilised separately…
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