Search Results - artificial intelligence evolution algorithms non-linear programming optimization~

Optimizing Multi-Modal Electromagnetic Design Problems Using Quantum Particle Swarm Optimization With Differential Evolution

Authors: Shah Fahad Shoaib Ahmed Khan Shiyou Yang et al.

Source: IEEE Access, Vol 11, Pp 101760-101775 (2023)

Subject Terms: Artificial intelligence, Premature convergence, Swarm intelligence, Metaheuristic, Evolutionary computation, 7. Clean energy, DE, Swarm behaviour, Artificial Intelligence, energy storage device (SMES), Evolutionary algorithm, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Optimization problem, hybridization, Geography, Multi-Objective Optimization, Multi-swarm optimization, Particle swarm optimization, Meta-optimization, Optimization Applications, Mathematical optimization, Differential Evolution, Computer science, Ant Colony Optimization, TK1-9971, Algorithm, Computational Theory and Mathematics, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Boltzmann selection strategy, Crossover, Electrical engineering. Electronics. Nuclear engineering, Smart particle, Differential evolution, Benchmark (surveying), QPSO, Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Geodesy

Access URL: https://doaj.org/article/00ed682f369d46719fabbd735c109536

Deep Reinforcement Learning-based Online Resource Management for UAV-Assisted Edge Computing with Dual Connectivity

Authors: Linh Cao Hoang Chuyen T. Nguyen Anh T. Pham

Source: IEEE/ACM Transactions on Networking. 31:2761-2776

Subject Terms: Artificial intelligence, Computer Networks and Communications, Lyapunov redesign, Chaotic, Unmanned Aerial Vehicle Communications, Aerospace Engineering, FOS: Mechanical engineering, 02 engineering and technology, Optimizing Information Freshness in Communication Networks, Engineering, Server, 0203 mechanical engineering, Reinforcement learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Edge Computing, Base station, Electrical and Electronic Engineering, Optimization problem, Resource allocation, Computer network, Internet of Things and Edge Computing, Mathematical optimization, Integer programming, Edge computing, Intelligent Reflecting Surfaces in Wireless Communications, Computer science, Distributed computing, Mobile Edge Computing, Enhanced Data Rates for GSM Evolution, Algorithm, Queueing theory, Physical Sciences, Computer Science, Q-learning, Mobile edge computing, Lyapunov optimization, Lyapunov exponent, Mathematics

A Neuro-Swarming Intelligence-Based Computing for Second Order Singular Periodic Non-linear Boundary Value Problems

Authors: Zulqurnain Sabir Muhammad Asif Zahoor Raja Juan L. G. Guirao et al.

Source: Frontiers in Physics, Vol 8 (2020)

Subject Terms: Artificial neural network, Artificial intelligence, QC1-999, Robustness (evolution), Swarm intelligence, 02 engineering and technology, singular periodic systems, Mathematical analysis, Biochemistry, Quantum mechanics, Gene, 01 natural sciences, statistical analysis, Numerical Methods for Singularly Perturbed Problems, 0103 physical sciences, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Boundary value problem, Anomalous Diffusion Modeling and Analysis, Numerical Analysis, Physics-Informed Neural Networks for Scientific Computing, particle swarm optimization, Numerical Computing, Particle swarm optimization, Physics, Mathematical optimization, Statistical and Nonlinear Physics, Computer science, Programming language, Algorithm, Chemistry, Physics and Astronomy, Solver, Modeling and Simulation, Implementation, Physical Sciences, Nonlinear system, interior-point scheme, artificial neural networks, Mathematics, Nonlinear Systems, hybrid approach

Access URL: https://www.frontiersin.org/articles/10.3389/fphy.2020.00224/pdf
https://doaj.org/article/893c38485dae41f8865288a478a8cdc1
https://www.frontiersin.org/articles/10.3389/fphy.2020.00224/full
http://ui.adsabs.harvard.edu/abs/2020FrP.....8..224G/abstract
https://www.frontiersin.org/article/10.3389/fphy.2020.00224/full

Sine Cosine Algorithm for Optimization

Authors: Jagdish Chand Bansal Prathu Bajpai Anjali Rawat et al.

Resource Type: eBook.

Subjects: Mathematical optimization, Metaheuristics, Computer programming

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Programming / Algorithms, TECHNOLOGY & ENGINEERING / Engineering (General), MATHEMATICS / Optimization

Discovering Non-Linear Boolean Functions by Evolving Walsh Transforms with Genetic Programming †.

Authors: Rovito, Luigi De Lorenzo, Andrea Manzoni, Luca

Source: Algorithms. Nov2023, Vol. 16 Issue 11, p499. 23p.

Subject Terms: *BOOLEAN functions, *GENETIC programming, *NONLINEAR functions, *STREAM ciphers, *MATHEMATICAL optimization, *EVOLUTIONARY computation, *EVOLUTIONARY algorithms

Design of the Advanced ψ–Hamzah Model for an Intelligent Vaccine Injection System

Authors: JALALI, SEYED RASOUL

Subject Terms: ψ–Hamzah intelligent vaccine injection system, quantum fractal injection modeling, adaptive vaccine delivery algorithms, integral memory-based immunization, biofeedback-driven nanoinjection, NFC-enabled vaccine administration, Bluetooth-secure medical patch, needle-free adaptive injection system, microfluidic actuators in vaccine delivery, biosensor-integrated vaccine injector, real-time cytokine monitoring in vaccination, quantum-state representation of immune response, fractal derivatives in biomedical engineering, nonlinear immune system modeling, temporal memory-driven vaccination, personalized immunization scheduling, immune-adaptive vaccine dose control, smart nanoparticle-based injection, LNP nanocapsule dynamic release model, subcutaneous biosensor vaccine monitoring, piezoelectric nanopump vaccine delivery, adaptive fractional-feedback control systems, Caputo fractional derivative injection modeling, Grünwald–Letnikov immune response simulation, adaptive fuzzy–Kalman vaccine filter, microdose-controlled vaccine administration, intelligent microneedle vaccine patch, BioMemory ψ-integrated vaccine system, fractal–fractional immune system model, multiscale spatiotemporal drug dynamics, GPU-accelerated immune feedback computations, predictive genomic adjustment in vaccine injection, secure ψ–QRL quantum encryption, adaptive bio-quantum controller, immunogenicity-enhanced nanoparticle injection, decentralized programmable vaccine devices, IoMT-compatible intelligent vaccination, cloud-integrated ψ–Hamzah injection OS, biosignal-driven adaptive injection patches, magnetoelectric nanocapsule injection system, Hamzah–NanoShot fractal injection capsules, aptamer-based LNP biosensors, CRISPR-dCas9 FRET vaccine biosensor, impedance spectroscopy immune monitoring, skin-based plasma concentration biosensor, AI-driven fractal vaccination controller, nonlinear stochastic immune adjustment, ex vivo adaptive injection system, engineered epidermal–dermal vaccine testing, real-time dose-response biosignal logging, adaptive cytokine-modulated vaccine dosing, immune-threshold feedback function modeling, quantum fractal immune feedback algorithm, NFC-updatable vaccine injector, BLE5-enabled medical injection patch, thin-film biocompatible power harvesting, smart injection reservoir microliter precision, piezo-crystal driven microliter injector, fractal spatiotemporal nanoparticle distribution, adaptive immune calibration injection, systemic vaccine bioavailability optimization, bio-quantum adaptive drug dispersion, memory-based adaptive vaccine scheduling, personalized genetic immunization algorithm, EEG-integrated immune response tracking, QRNA-driven immune state modeling, adaptive pH-based tissue permeability control, fractal-based inflammatory marker regulation, immunological nanorobotic vaccine delivery, autonomous vaccine patch microinjector, predictive variant-responsive immunization, immune escape preemptive vaccine injection, adaptive T-cell stimulation modeling, personalized B-cell immunogenicity enhancement, ψ–Hamzah quantum immune memory kernel, Mittag-Leffler vaccine memory operator, Gamma-kernel adaptive immune integral, feedback-loop cytokine suppression modeling, stochastic PDE immune response simulation, fractal finite element tissue modeling, ex vivo injection confocal microscopy validation, aptamer–gold electrode immune biosensor, microfluidic PDMS vaccine delivery channels, impedance adaptive biosignal measurement, quantum-adaptive microdose scheduling, layered nanophase injection biocompatibility, nanomaterial-stabilized vaccine release system, adaptive magnetoelectric nanopump injector, self-learning immune feedback controller, cloud-monitored ψ–Hamzah vaccine OS, adaptive predictive immune stability model, real-time inflammation-suppression injector, optimized AUC vaccine pharmacodynamics, stability-enhanced LNP vaccine injection, kinetic biomarker-driven injection system, nano-targeted spatiotemporal vaccine delivery, deep-learning enhanced immune controller, fuzzy–fractal adaptive dosing scheduler, Hamzah-integral nanoparticle absorption model, nonlinear immune response personalization, quantum-level stochastic vaccine injector, memory-preserving adaptive nanocapsule release, adaptive T-cell proliferation feedback, cytokine decay-compensated injection control, feedback-optimized immunogenicity index, fractal fractional Runge-Kutta injection solver, Adams–Bashforth–Moulton fractal method, adaptive immune biocontrol loop simulation, GPU-accelerated fractal immune computing, bio-compatible ψ–Hamzah wearable injector, nanomedicine-aligned adaptive immunization, systemic feedback-stabilized injection algorithm, adaptive biological fractal kernel injector, clinical Phase 0 ψ–Hamzah adaptive patch, mini-pig in vivo fractal injection validation, humanized mice ψ–Hamzah immune experiment, adaptive Phase 1 clinical vaccine trial, confocal optical immune penetration assay, IL-6/TNF-α fractal biosignal regulation, flow cytometry adaptive CD8/CD4 response, immune memory expansion scheduling, predictive stochastic genomic vaccine model, decentralized ex vivo adaptive vaccine testing, IoMT-linked ψ–Hamzah immune patch, nanobiophysics-driven immunization control, clinical adaptive vaccine safety validation, fractal-immunology translational platform, adaptive pandemic-resilient injection system, intelligent regenerative nanomedicine delivery, real-time variant recalibration injection, ψ–Hamzah predictive viral mutation controller, nonlinear adaptive LNP absorption system, immune system memory fractal kernel, time-variable fractional vaccine injection, adaptive Kalman immunization controller, AI-fractal personalized immune scheduling, systemic adaptive nanoparticle distribution, needle-free dynamic injection control, ψ–Hamzah adaptive subcutaneous system, autonomous cloud-linked immunization patch, next-generation adaptive biomedical injectors, personalized fractal–quantum immunotherapy, dynamic immune recalibration injection, AI-stabilized vaccine biodistribution, adaptive nanoparticle immune kinetics, fractal-stochastic immune predictive controller, bioresorbable adaptive vaccine microneedle patch, ψ–Hamzah immune–genome interactive injector, high-precision microliter nanopump vaccine system, AI-driven biosignal vaccine recalibration patch, adaptive non-linear vaccine pharmacokinetics, fractal spatiotemporal adaptive immunization, predictive immune escape vaccine controller, adaptive minimal side-effect injection, rapid-onset adaptive immune injection system, ψ–Hamzah integrated nanoparticle vaccine design, nanobot-assisted adaptive vaccine injector, universal immune memory-adaptive injection patch, cytokine-feedback driven injection adaptation, and quantum–fractal biological vaccine controller

Performance of modified differential evolution for optimal design of complex and non-linear chemical processes.

Authors: Angira, Rakesh Babu, B. V.

Source: Journal of Experimental & Theoretical Artificial Intelligence. Dec2006, Vol. 18 Issue 4, p501-512. 12p. 1 Diagram, 7 Charts, 2 Graphs.

Subject Terms: *MATHEMATICAL optimization, *ALGORITHMS, *NONLINEAR programming, *DYNAMIC programming, *CHEMICAL processes, *MATHEMATICAL analysis

Application of non-animal–inspired evolutionary algorithms to reservoir operation: an overview

Authors: Jahandideh-Tehrani, Mahsa Bozorg-Haddad, Omid Loáiciga, Hugo A

Source: Environmental Monitoring and Assessment. 191(7)

Subject Terms: Information and Computing Sciences, Artificial Intelligence, Algorithms, Environmental Monitoring, Water Resources, Bibliography, Metaheuristic algorithm, Dam operation, Optimization, State-of-the-art review, Environmental Sciences

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/67x542qx
https://escholarship.org/content/qt67x542qx/qt67x542qx.pdf

Joint UAV deployment, SF placement, and collaborative task scheduling in heterogeneous multi‐UAV‐empowered edge intelligence.

Authors: Wang, Yangang Wei, Xianglin Wang, Hai et al.

Source: IET Communications (Wiley-Blackwell). Mar2023, Vol. 17 Issue 4, p641-657. 17p.

Subject Terms: *ARTIFICIAL intelligence, *INTEGER programming, *SCHEDULING, DIFFERENTIAL evolution, DRONE aircraft, NONLINEAR equations

Causal Economic Machine Learning (CEML): "Human AI".

Authors: Horton, Andrew¹ (AUTHOR) ahorton.mba2000@ivey.ca

Source: AI. Dec2024, Vol. 5 Issue 4, p1893-1917. 25p.

Subject Terms: *ARTIFICIAL intelligence, *DECISION theory, *UTILITY theory, *CAUSAL inference, *BEHAVIORAL economics

Optimization of process synthesis and design problems: A modified differential evolution approach

Authors: Angira, Rakesh Babu, B.V.

Source: Chemical Engineering Science. Jul2006, Vol. 61 Issue 14, p4707-4721. 15p.

Subject Terms: *SYSTEMS engineering, *ALGORITHMS, *LINEAR programming, *INDUSTRIAL engineering

Solving optimization problems in energy with genetic algorithm

Authors: KARDASH D. KOLLAROV O.

Source: Journal of Electrical and power engineering. 28:37-41

Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)

Authors: Pushpendu Kar Jiayang Li Yuhang Qiu

Resource Type: eBook.

Subjects: Artificial intelligence--Congresses, Algorithms--Congresses

Categories: COMPUTERS / Programming / Algorithms, COMPUTERS / Computer Science, MATHEMATICS / Applied

The Amazing Journey of Reason

Authors: Mario Alemi

Resource Type: eBook.

Subjects: Artificial intelligence--Social aspects, Human evolution

Categories: MATHEMATICS / Applied, COMPUTERS / Computer Science, COMPUTERS / Data Transmission Systems / Electronic Data Interchange, COMPUTERS / Networking / General, COMPUTERS / Operating Systems / General, COMPUTERS / Programming / Algorithms

Modified differential evolution: a greedy random strategy for genetic recombination

Authors: Bergey, Paul K. Ragsdale, Cliff

Source: Omega. Jun2005, Vol. 33 Issue 3, p255-265. 11p.

Subject Terms: *ARTIFICIAL intelligence, *INTELLIGENT agents, *LINEAR programming, *STOCHASTIC analysis

An Evolutionary Approach for Learning Opponent's Deadline and Reserve Points in Multi-Issue Negotiation

Authors: Raouia Ayachi H. Bouhani Nahla Ben Amor

Source: Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
Universidad Internacional de La Rioja (UNIR)
instname
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 5, Iss 3, Pp 131-140 (2018)

Subject Terms: Technology, Artificial intelligence, Deadline Learning, FOS: Political science, 0211 other engineering and technologies, Social Sciences, Outcome (game theory), FOS: Law, 02 engineering and technology, Management Science and Operations Research, Mechanism Design in Auctions and Procurement Contracts, Quantum mechanics, Multi-Agent Systems, Negotiation, Term (time), Decision Sciences, Fictitious play, Adversary, Agent-Based Modeling, Artificial Intelligence, Computer security, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, deadline learning, Political science, Game theory, Differential Evolution Algorithm, Invasive Weed Optimization, Argumentation Frameworks, Mathematical economics, Winner Determination, Physics, Mathematical optimization, IJIMAI, invasive weed optimization, Agents, Computer science, automated negotiation, agents, Methods and Techniques for Agent-Based Modeling, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Automated Negotiation, Law, Dialectical Argumentation, Mathematics, differential evolution algorithm

Access URL: https://www.ijimai.org/journal/sites/default/files/files/2018/08/ijimai_5_3_14_pdf_17519.pdf
https://reunir.unir.net/handle/123456789/12405
http://doi.org/10.9781/ijimai.2018.08.001
https://doaj.org/article/65dfe565e307494f8b71b70164fb01c3
https://reunir.unir.net/handle/123456789/12405

A new simple, fast and efficient algorithm for global optimization over continuous search-space problems: Radial Movement Optimization.

Authors: Rahmani, Rasoul Yusof, Rubiyah

Source: Applied Mathematics & Computation. Dec2014, Vol. 248, p287-300. 14p.

Subject Terms: *GLOBAL optimization, *MATHEMATICAL programming, *NONLINEAR systems, *DIFFERENTIAL evolution, *PARTICLE swarm optimization, *STOCHASTIC convergence, *PROBLEM solving

SMART TECHNOLOGIES AT LIVESTOCK FARMS.

Authors: MAKULSKA, Joanna CUPIAŁ, Michał

Source: Scientific Papers. Series D. Animal Science. 2024, Vol. 67 Issue 2, p366-371. 6p.

Way of the Fittest: Optimization by Behavioral Evolution

Authors: Stork, Jörg Willi

Subject Terms: Kriging, Behavior Distances, Global Optimization, Surrogate-Based Optimization, Artificial Intelligence, Evolutionary Computation, Behavioral Optimization, Reinforcement Learning, Neuroevolution, Phenotypic Distance

Access URL: https://hdl.handle.net/1871.1/cc84a9b0-4f40-4d50-8223-118ad951309e
https://research.vu.nl/en/publications/cc84a9b0-4f40-4d50-8223-118ad951309e

Sustainable maritime inventory routing problem with time window constraints

Authors: De A Kumar SK Gunasekaran A et al.

Source: De, A, Kumar, S K, Gunasekaran, A & Tiwari, M K 2017, 'Sustainable maritime inventory routing problem with time window constraints', Engineering Applications of Artificial Intelligence, vol. 61, pp. 77-95. https://doi.org/10.1016/j.engappai.2017.02.012

Subject Terms: Mixed integer non-linear programming, Fuel consumption, Maritime inventory routing, Particle swarm optimization for composite particle, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Slow steaming, 7. Clean energy, Maritime transportation, Ship routing and scheduling, 12. Responsible consumption

File Description: application/pdf

Access URL: https://eprint.ncl.ac.uk/fulltext.aspx?url=252068/24B13A91-FDEA-4098-AE3C-52669D5FF3D5.pdf&pub_id=252068
https://research.manchester.ac.uk/en/publications/74cff917-4756-4399-94ce-baa9c486596c
https://doi.org/10.1016/j.engappai.2017.02.012
https://www.research.manchester.ac.uk/portal/en/publications/sustainable-maritime-inventory-routing-problem-with-time-window-constraints(74cff917-4756-4399-94ce-baa9c486596c).html
https://www.sciencedirect.com/science/article/pii/S0952197617300350
https://doi.org/10.1016/j.engappai.2017.02.012
https://research.nitie.ac.in/publication/sustainable-maritime-inventory-routing-problem
http://www.sciencedirect.com/science/article/pii/S0952197617300350
https://dblp.uni-trier.de/db/journals/eaai/eaai61.html#DeKGT17
https://research.manchester.ac.uk/en/publications/74cff917-4756-4399-94ce-baa9c486596c
https://doi.org/10.1016/j.engappai.2017.02.012
http://www.scopus.com/inward/record.url?scp=85014678366&partnerID=8YFLogxK