Topic: metaheuristic-algorithms Goto Github
Some thing interesting about metaheuristic-algorithms
Some thing interesting about metaheuristic-algorithms
metaheuristic-algorithms,With the aim of create a powerful trade-off between the concepts of exploitation and exploration, and rectify the complexity of their structural parameters in the standard IPO, a modified version of IPO (called MIPO) is introduced as an efficient optimization algorithm for digital infinite-impulse-response (IIR) filters model identification. The MIPO utilizes an appropriate mechanism based on the executive steps of algorithm with the constant damp factors.
User: ali-ece
metaheuristic-algorithms,This paper presents an intelligent sizing method to improve the performance and efficiency of a CMOS Ring Oscillator (RO). The proposed approach is based on the simultaneous utilization of powerful and new multi-objective optimization techniques along with a circuit simulator under a data link. The proposed optimizing tool creates a perfect tradeoff between the contradictory objective functions in CMOS RO optimal design. This tool is applied for intelligent estimation of the circuit parameters (channel width of transistors), which have a decisive influence on RO specifications. Along the optimal RO design in an specified range of oscillaton frequency, the Power Consumption, Phase Noise, Figure of Merit (FoM), Integration Index, Design Cycle Time are considered as objective functions. Also, in generation of Pareto front some important issues, i.e. Overall Nondominated Vector Generation (ONVG), and Spacing (S) are considered for more effectiveness of the obtained feasible solutions in application. Four optimization algorithms called Multi-Objective Genetic Algorithm (MOGA), Multi-Objective Inclined Planes system Optimization (MOIPO), Multi-Objective Particle Swarm Optimization (MOPSO) and Multi-Objective Modified Inclined Planes System Optimization (MOMIPO) are utilized for 0.18-mm CMOS technology with supply voltage of 1-V. Baesd on our extensive simulations and experimental results MOMIPO outperforms the best performance among other multi-objective algorithms in presented RO designing tool.
User: ali-ece
metaheuristic-algorithms,A new optimization method based on the dynamic of sliding motion along a frictionless inclined plane. In IPO, a collection of agents cooperate with each other and move toward better positions in the search space by employing Newton’s second law and equations of motion. The standard version of the IPO is presented by Mozafari et al. in 2016. Powerful improved versions of it called MIPO and SIPO along with its multi-objective version of MOIPO were presented in 2016, 2017 and 2019 by Dr. Ali Mohammadi (myself) and colleagues at the University of Birjand, respectively. This powerful algorithm has also been used in many applications, which has provided very good outputs. In the following, the standard version of the IPO algorithm along with the benchmark functions reviewed in its reference article, and its improved versions are attached.
User: ali-ece
metaheuristic-algorithms,C++ Optimization Library
User: amirabbasasadi
metaheuristic-algorithms,a Simple Python Implementation of IAS Optimization Algorithm
User: amirhosseinnamadchi
metaheuristic-algorithms,Demonstration of Particle Swarm Optimization (Auto Hyperparameter variant).
User: arawxx
metaheuristic-algorithms,The codes for metaheuristic optimization algorithms
User: bghojogh
metaheuristic-algorithms,This research proposes a novel order batching approach for warehouses to minimize total tardiness, considering category, weight, and fragility constraints. A Set-based Mayfly Algorithm (SBMA) is developed, adapting the Mayfly Algorithm to the discrete problem and leveraging swarming/mating behaviors to avoid local optima.
User: boatzaa1456
metaheuristic-algorithms,The traveling salesman problem (TSP) is a well-known problem in theoretical computer science and operations research. The standard version of the TSP is a hard problem and belongs to the NP-Hard class. In this project, I build an application to implement the TSP by the dynamic approach and the GVNS approach .
User: boutainaelyaziji
metaheuristic-algorithms,Final project for Methaeuristics subject, taught at the University of Granada during the 2019/2020 academic year.
User: casillasalba
metaheuristic-algorithms,A study on swarm intelligence optimizing neural networks for workload elasticity prediction
Organization: chasebk
metaheuristic-algorithms,(ancient german = improving, rearranging, rendering benign)
User: cherusk
metaheuristic-algorithms,This is the repository of codes written in class.
Organization: computational-intelligence-fall18
metaheuristic-algorithms,A web application that solves a sudoku puzzle using simulated annealing algorithm.
User: dsbalico
Home Page: https://sudoku-solver-sa.netlify.app/
metaheuristic-algorithms,Regenerated a state-of-the-art meta-heuristic algorithm for the UAV path planning problem, proposed by Qu, Gai, and Zhong.
User: emad-salehi
metaheuristic-algorithms,code example to axplain types of algorithms: algorithms by approximation or exacts algorithms
User: fabgonzalezv
metaheuristic-algorithms,FAEICA-Algorithm (Fuzzy adaptive optimisation method)
User: farshidkeivanian
metaheuristic-algorithms,Algorithmes de selection de variables pour préparer un apprentissage non supervisé. La version finale du programme est sélectionne les prédicteurs les plus pertinents en effectuant un apprentissage à chaque génération. La métrique optimisée (dans le cadre du dataset utilisé) est l'accuracy. Nous avons testé les deux métaheuristiques sur un dataset de 1551 variables. || Two variable selection algorithms to prepare unsupervised learning. The final version of the program selects the variables by performing a learning at each generation. The optimized metric (in the context of the dataset used) is the accuracy rate.
User: fereol023
metaheuristic-algorithms,Adaptive Heterogeneous Improved Dynamic Multi-Swarm PSO (A-HIDMS-PSO) Algorithm
User: ftvarna
metaheuristic-algorithms,Heterogeneous Improved Dynamic Multi-Swarm PSO (HIDMS-PSO) algorithm.
User: ftvarna
metaheuristic-algorithms,Metaheuristic Minimization Using Particle Swarm Optimization.
User: gabrielegilardi
metaheuristic-algorithms,Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators serve as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature.
User: jcrvz
metaheuristic-algorithms,This work was aimed at finding methods to identify the most distant proteins and most diverse subsets of proteins from large protein databases in a scalable and efficient way using a dataset of protein embeddings from SwissProt, data mining techniques and metaheuristics.
User: jhadziahdev
metaheuristic-algorithms,Implementation of three nature-inspired search algorithms: Bees Algorithm, Bat Algorithm, and Firefly Algorithm
User: jonasgrebe
metaheuristic-algorithms,This repository contains the Matlab source codes of the Improved Hybrid Growth Optimizer (IHGO) algorithm, an improved variant of the recently-developed Growth Optimizer (GO) algorithm.
User: k-biabanihamedani
metaheuristic-algorithms,C++ implementation of the metaheuristic spy_algorithm. It can search for global optimal solutions for arbitrary non-convex functions.
User: kentakato
metaheuristic-algorithms,Different meta-heuristic optimization techniques for feature selection
User: kkg1999
metaheuristic-algorithms,Implementation of Generic Algorithm
User: mateuszlesko
metaheuristic-algorithms,A toolkit for MetaHeuristics implemented in Python
User: michaelistrofficus
metaheuristic-algorithms,This work introduces Differentiated Creative Search (DCS), a groundbreaking optimization algorithm that revolutionizes traditional decision-making systems in complex environments.
User: minikku
Home Page: https://research.commorkhor.com/
metaheuristic-algorithms,:chart_with_upwards_trend: Collect and archive the metaheuristic algorithms and their applications in geophysics.
Organization: modeling-inversion-lab
metaheuristic-algorithms,Obtaining the best coefficients of Inverse Dynamics Controller, for a dynamical system, with Optimization Algorithms.
User: mustafalotfi
metaheuristic-algorithms,A project for Fundamental of Optimization class at HUST, Winter 2022
User: namhainguyen2803
metaheuristic-algorithms,A list of metaheuristics and links to their respective papers.
User: pixelatory
metaheuristic-algorithms,MATLAB simulations for Controller Placement Problem in Software Defined Networks
User: prateekshyap
metaheuristic-algorithms,Adaptive Multi-Population Optimization Algorithm
User: rayzxli
metaheuristic-algorithms,RNN-LSTM: From Applications to Modeling Techniques and Beyond - Systematic Review
User: safwanalselwi
metaheuristic-algorithms,Enhancing the performance of high dimensional automatic data clustering using Particle Swarm Optimization (PSO) algorithm employing Autoencoder in Stock Market data.
User: shrinidhi1
metaheuristic-algorithms,Metaheuristic algorithm homework
User: sqaz91819
metaheuristic-algorithms,Implementation of some metaheuristic algorithms.
User: sqaz91819
metaheuristic-algorithms,BIO-ANFIS: A Bio-inspired Optimization Framework for Improving ANFIS Networks
User: thieu1995
Home Page: https://banfis.readthedocs.org/
metaheuristic-algorithms,EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms
User: thieu1995
Home Page: https://evorbf.readthedocs.org
metaheuristic-algorithms,IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
User: thieu1995
Home Page: https://intelelm.readthedocs.io
metaheuristic-algorithms,MetaPerceptron: Unleashing the Power of Metaheuristic-optimized Multi-Layer Perceptron - A Python Library
User: thieu1995
Home Page: https://metaperceptron.readthedocs.org
metaheuristic-algorithms,reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization
User: thieu1995
Home Page: https://reflame.readthedocs.org
metaheuristic-algorithms,Optimal Design of a Permanent Magnet Synchronous Motor Using the Cultural Algorithm
User: toohidsharifi
metaheuristic-algorithms,Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm
User: toohidsharifi
metaheuristic-algorithms,Python code for ECS-NL.
User: vkotiyal
metaheuristic-algorithms,This is a project of portfolio optimization using Quantum-inspired Tabu Search and Trend Ratio
User: xjcheam
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