Results 91 to 100 of about 105,539 (302)
ENHANCED SPIDER ALGORITHM FOR MINIMIZATION OF REAL POWER LOSS
International Journal of Research -GRANTHAALAYAH, 2018 In this paper Enhanced Spider (ES) algorithm is proposed to solve reactive power Problem. Enthused by the spiders, a new Enhanced Spider (ES) algorithm is utilized to solve reactive power problem. The composition is primarily based on the foraging approach of social spiders, which make use of of the vibrations spread over the spider web to choose the ...
openaire +2 more sources
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
FEBS Open Bio, EarlyView.Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
IEEE Access, 2019 The combined heat and power (CHP) generator not only generates electrical power but also generates heat energy in a single process, which decreases the emission level significantly.
Ehab E. Elattar
doaj +1 more source
Adaptive Regret Minimization in Bounded-Memory Games [PDF]
, 2013 Online learning algorithms that minimize regret provide strong guarantees in situations that involve repeatedly making decisions in an uncertain environment, e.g. a driver deciding what route to drive to work every day. While regret minimization has been
B. Awerbuch +9 more
core +3 more sources
Distribution System Power Losses Minimization Using Network Reconfiguration
International Journal of Integrated Engineering, 2018 This paper shows an efficacious approach for the perfect arrangement of a distribution system. To discover the switches best fusion, which outcomes a minimal power loss for the distribution radial configuration. To resolve the non-linear optimization problem here Modified Particle Swarm Optimization (MPSO) technique is projected for the minimization of
Muhammad Junaid Tahir +3 more
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FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Optimal siting of capacitors in radial distribution network using Whale Optimization Algorithm
Alexandria Engineering Journal, 2017 In present days, continuous effort is being made in bringing down the line losses of the electrical distribution networks. Therefore proper allocation of capacitors is of utmost importance because, it will help in reducing the line losses and maintaining
D.B. Prakash, C. Lakshminarayana
doaj +1 more source
REAL POWER LOSS MINIMIZATION BY MUTUAL MAMMAL BEHAVIOR ALGORITHM
International Journal of Research -GRANTHAALAYAH, 2017 This paper presents a Mutual Mammal Behavior (MM) algorithm for solving Reactive power problem in power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization is taken is taken as main objective. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer ...
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FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Application of pattern search method to power system valve-point economic load dispatch
, 2007 Direct search (DS) methods are evolutionary algorithms used to solve constrained optimization problems. DS methods do not require any information about the gradient of the objective function at hand, while searching for an optimum solution.
AL-Othman, A.K. +2 more
core +1 more source