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22 articles for “differential evolution”
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Design of Differential Evolution Optimized PI Controller for a Temperature Process
Abstract: Differential evolution is a new stochastic population-based optimization algorithm. It is an accurate, fast and robust optimization method. In this paper, a PI controller is used and differential evolution optimization technique is used to optimize the controller parameters. The robust controller parameters are obtained by solving the optimization problem, which consists of objective functions and constraints, using differential evolution method. Here differential evolution is implemented in tuning of a PI …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 17–26 Read article
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A CON: EVO Reduction Technique for Uncertain Interval Systems Using Differential Evolution Algorithm
Abstract: In this paper advantage of evolutionary technique is used in combination with a reliable conventionaltechnique to reduce the dimension of high order uncertain linear interval systems into low order intervalsystems. The proposed technique is depicted by a name CON: EVO, which stands for combination ofconventional & evolutionary technique. In evolutionary method recently proposed Differential Evolution(DE) optimization technique is used with and without powerful conventional Routh approximation techniqueto minimize the integral …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 1–11 Read article
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Entropy Analysis Based Differential Evolution Approach for Emotion Classification for EEG
Abstract: Electroencephalography (EEG) signal processing is having its significance in various applications related to the emotion recognition and classification. The behavior monitoring, behavior class identification, emotion class identification are the major aspects for classification of EEG signal. In this paper, a feature adaptive differential evolution (DE) approach is defined to perform emotion classification. In this work, we used discrete wavelet transform (DWT), for extracting the statistical features from the EEG signal …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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Model Optimisation of Waterflood and Low Salinity Brine Injection to Enhance Gas Condensate Recovery – A Case Study of A Rich Gas Condensate Sandstone Reservoir in The Offshore Tano Basin of Ghana
Abstract: To enhance production of entrapped condensate in gas-condensate reservoirs without delay in produced gas sales, this study looked at the impact of waterflood and low saline brine injection on an offshore gascondensate reservoir in the Tano Basin, Ghana, West-Africa. The injector well placements, rate, and pressure were optimised using three optimisers (Differential Evolution, Particle Swarm Optimisation, Design Exploration and Controlled Evolution). Condensate and gas recovery increased by 30.3% (from 19.1% …
Published in Journal of Petroleum Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 20–31 Read article
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A Study and Performance Evaluation of Evolutionary Optimization Techniques for Multi-objective Master Production Scheduling Problems
Abstract: Master production schedule (MPS) can effectively and efficiently synchronize the operations in any organization. MPS, which is posed as one of the multi-objective parameter optimization problems, is a plan that determines optimal values of products to be produced. For many engineering optimization problems, more competitive and optimal solutions can be obtained by using Heuristic evolutionary optimization algorithms. Among these, two main algorithms considered here are the differential evolution (DE) whose …
Published in Journal of Production Research & Management · Vol. 3, Issue 2, 2013 · pp. 12–22 Read article
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Optimization of Helical Spring Weight using Meta-heuristic Algorithms
Abstract: Optimization is the act of obtaining the best results under given circumstances. A mathematical theory of optimization is highly in use and is being applied to design where design function can be expressed mathematically. Many techniques like Linear Programming, Branch & Bound technique, Dynamic Programming methods are available to solve optimization problems. But these conventional Methods suffer from certain drawbacks like sticking at suboptimal solution, inefficiency in handling problems having …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 21–28 Read article
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Scheduling of Autonomous Robots in the Flexible Manufacturing System
Abstract: Fast adaptability and high flexibility have made use of autonomous robots (ARs) a popular choice for different material transfer activities in the flexible manufacturing systems (FMSs). The ARs are observed to be highly capable and flexible for integration with computer-controlled machine tools, producing different types of jobs in the FMS. The integrated scheduling of production operations on the machine tools and material transfer operations of ARs in the FMS can …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
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Optimization of ED Problems of Interconnected Power System Using Particle Swarm Optimization
Abstract: This paper proposes an effective and useful evolutionary-based method to solve the economic load dispatch (ELD) problem. This paper introduces particle swarm optimization (PSO) technique for solving the economic dispatch (ED) problem in power system. ELD problem is really the solution of a large number of load flow problem with equality & inequality constraints. In this paper, a PSO technique for solving the ELD problem in power system is proposed. …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 1, 2015 · pp. 1–8 Read article
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Innovative Approaches to Reactive Power Management and Optimization in Modern Power systems
Abstract: Reactive power management and optimization are necessary for the effective, stable, and reliable working of modern power systems. Without proper management, reactive power is responsible for additional losses in transmission, reduced capability of power transfer, and poor voltage stability conditions, thus forming a basis for developing advanced techniques of optimization. This paper discusses the innovative methods in Reactive Power Optimization (RPO) using met heuristic algorithms, namely the Self-Balanced Differential Evolution …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 44–50 Read article
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Linear Programming for Profit Optimization in Small-Scale Manufacturing: A Python-Based Simplex and Machine Learning Approach
Abstract: Profit maximization under resource constraints is a classic challenge. Small manufacturers face tight margins and scarce capital every day. This paper tackles that problem using four Python-based methods. The case study is Bintang Bakery in Bandar Lampung, Indonesia. The bakery makes three bread types and faces 18 resource constraints. Data comes from Anggoro et al. Methods tested include LP revised simplex, Differential Evolution, PSO, and ANN Surrogate. General-purpose scipy minimizers …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 01–11 Read article
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An Innovational Safety Perspective for Reliability Assessment of Fire Extinguisher Considering Multiplicity Events
Abstract: Reliability evaluation of an engineering system or component or element is very important in order to forecast its availability or unavailability and other important directories related to the component or system as a whole. Reliability is the adjustable which tells about the availability or unavailability of the module under proper working conditions for a given period of time. A lot many researches has been reported for reliability analysis of distribution …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 2, 2021 · pp. 1–6 Read article
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Estimation of Reliability and various parameters of a Radial Electrical Distribution System: An Innovative Safety Approach
Abstract: Reliability assessment of an engineering system or systems or component or element is very important in order to forecast its availability or unavailability and other important indices related to the component or system as a whole. Reliability is the floating which tells about the availability or unavailability of the component under proper working conditions for a given period of time. A lot many research papers have been reported for reliability …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 2, 2021 · pp. 14–19 Read article
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A State-of-the-Art Strategy for Guesstimate of Reliability of Cumbersome Radial Distribution Structure
Abstract: Reliability assessment of an engineering system or systems or component or element is very important in order to forecast its availability or unavailability and other important indices related to the component or system as a whole. Reliability is the floating which tells about the availability or unavailability of the component under proper working conditions for a given period of time. A lot many research papers have been reported for reliability …
Published in Journal of Power Electronics and Power Systems · Vol. 11, Issue 3, 2021 · pp. 9–16 Read article
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Salp Swarm Algorithm Optimized Tilt Integral Derivative Controller for Controlling the Frequency of Load in Multi Area Multi Source Power System With and Without Electric Vehicle
Abstract: Abstract- In this paper, Salp Swarm Algorithm (SSA) is used to tune the parameters of tilt integral derivative (TID) controller to control the frequency of load in multi area interconnected multi source system in the presence of electric vehicle (EV). In the proposed system there are two areas and each area consist of three sources i.e. gas unit, hydro unit and reheat thermal unit . In order to exhibit the …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 25–36 Read article
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Isogeometric Topology Optimization of Continuum Structures using Evolutionary Algorithms
Abstract: Isogeometric analysis is a popular method for the analysis of problems involving complex geometry and governed by differential equations. Meta-heuristics are widely used to determine the optimum distribution of material within the given design domain. The focus of this study is to perform isogeometric topology optimization of continuum structures using meta-heuristics nature inspired firefly algorithm. NURBS basis functions are used to construct the geometric model and to calculate the displacements …
Published in Journal of Experimental & Applied Mechanics · Vol. 8, Issue 3, 2017 · pp. 8–18 Read article
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Molecular Evolution of Virulence Genes of Coronavirus: A Computational Study
Abstract: Corona Virus i.e., Covid 19 is consider as highly pathogenic and transmissible, which is responsible for emerging scenario of current pandemic disease. The family of this virus Coronaviridae, which affect respiratory system of human along with animal, and It is belived to be originated from bat. The homology of covid 19 is mix of SARA-CoV and MERS-CoV. The Single-stranded positive genomic RNA, which is coated by nucleocapsid protein is present …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 2, 2021 · pp. 22–35 Read article
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Kinetics of Crystallization and Microstructural Evolution of Commercial Fluorophlogopite Machinable Glass- Ceramics in the System SrO∙4MgO∙Al2O3∙ 6SiO2∙2MgF2 with Varying in B2O3
Abstract: Glass materials based on fluorophlogopite stoichiometry with varying concentrations of B₂O₃ were synthesized using the melt-casting method, followed by heat treatment at different crystallization temperatures. The resulting glass and glass–ceramic samples were characterized using differential thermal analysis (DTA), scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared (FT-IR) spectroscopy. Kinetic analysis revealed that the activation energies required for the formation of glass–ceramics were 192.77 kJ mol⁻¹ and 210.47 kJ …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 1–16 Read article
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Land surface dynamics: A Multiphysics Approach to Modeling Mass Transport
Abstract: Land surface dynamics are governed by complex interactions among hydrological, atmospheric, and geomorphological processes that collectively drive the transport of mass across terrestrial environments. Traditional modeling approaches often isolate individual mechanisms, limiting their ability to capture the coupled feedbacks that shape landscape evolution. This study presents a multiphysics framework for modeling mass transport on land surfaces, integrating fluid flow, sediment transport, heat exchange, and chemical reactions within a unified computational …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 31–36 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Artificial Intelligence–Assisted Reduced-Order Modeling and Stability Control in Granular Couette Flow
Abstract: This study develops a reduced-order and stability-aware modeling framework for dense granular Couette flow by integrating continuum mechanics, bifurcation analysis, and data-driven stability estimation. Starting from coupled governing equations for momentum, granular temperature, and microstructural evolution, the system is nondimensionalized and reduced using a Galerkin projection consistent with shear-driven boundary conditions. This yields a low-dimensional nonlinear dynamical system that preserves the essential coupling between velocity, fluctuation energy, and structural relaxation. …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 3, 2026 Read article