Topic: metaheuristic-optimisation Goto Github
Some thing interesting about metaheuristic-optimisation
Some thing interesting about metaheuristic-optimisation
metaheuristic-optimisation,Open-source framework for adaptive manufacturing processes scheduling
Organization: aimclub
Home Page: https://sampo.readthedocs.io
metaheuristic-optimisation,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-optimisation,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-optimisation,a Simple Python Implementation of IAS Optimization Algorithm
User: amirhosseinnamadchi
metaheuristic-optimisation,Python code for African vulture optimization algorithm
User: angelinbeni
metaheuristic-optimisation,Matlab code for Remora Optimization Algorithm (ROA)
User: angelinbeni
metaheuristic-optimisation,Demonstration of Particle Swarm Optimization (Auto Hyperparameter variant).
User: arawxx
metaheuristic-optimisation,The codes for metaheuristic optimization algorithms
User: bghojogh
metaheuristic-optimisation,The code for Pontogammarus Maeoticus Swarm Optimization (PMSO) which is a metaheuristic optimization algorithm
User: bghojogh
Home Page: https://arxiv.org/abs/1807.01844
metaheuristic-optimisation,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-optimisation,Search for a model and corresponding hyperparameters that best model your data
User: ches-001
metaheuristic-optimisation,
User: d-lowl
metaheuristic-optimisation,JavaOpt - A Java library for metaheuristic optimization algorithms
User: deanone
metaheuristic-optimisation,Maximal covering location problem with customer preference ordering
User: donandjela
metaheuristic-optimisation,University assignment project for the Optimization Methods and Algorithms at PoliTO
User: edoardo262632
metaheuristic-optimisation,An optimization solution with tabu search to VRP Problem.
User: erkancetinyamac
metaheuristic-optimisation,The Stochastic Optimisation Software (SOS) is a research-oriented software platform for Metaheuristic Optimisation (Stochastic Optimisation). If you are using SOS, please acknowledge the article "Caraffini, F.; Iacca, G. The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms. Mathematics 2020, 8, 785." (https://doi.org/10.3390/math8050785)
User: facaraff
Home Page: https://tinyurl.com/FabioCaraffiniSOS
metaheuristic-optimisation,The purpose of this repository is to present applications of different programming languages in scientific problems.
User: feliperamosoliveira
metaheuristic-optimisation,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-optimisation,AHPSO: Altruistic Heterogeneous Particle Swarm Optimisation Algorithm. Source code for the paper: IEEE SSCI https://ieeexplore.ieee.org/document/9660149
User: ftvarna
metaheuristic-optimisation,Heterogeneous Improved Dynamic Multi-Swarm PSO (HIDMS-PSO) algorithm.
User: ftvarna
metaheuristic-optimisation,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-optimisation,A list of optimization algorithms and their sample codes
User: jigsaw373
Home Page: https://evo.jigsaw373.me/
metaheuristic-optimisation,Simple Assembly Line Balancing Problem Type 2
User: joao-vitor-costa
metaheuristic-optimisation,Implementation of three nature-inspired search algorithms: Bees Algorithm, Bat Algorithm, and Firefly Algorithm
User: jonasgrebe
metaheuristic-optimisation,C++ implementation of the metaheuristic spy_algorithm. It can search for global optimal solutions for arbitrary non-convex functions.
User: kentakato
metaheuristic-optimisation,
User: khalidbelharbi
metaheuristic-optimisation,
User: khalidbelharbi
metaheuristic-optimisation,Different meta-heuristic optimization techniques for feature selection
User: kkg1999
metaheuristic-optimisation,
User: kkg1999
metaheuristic-optimisation,Parallel Global Best-Worst Particle Swarm Optimization Algorithm for Solving Optimization Problems (Applied Soft Computing-2023)
User: lalit212212
Home Page: https://doi.org/10.1016/j.asoc.2023.110329
metaheuristic-optimisation,Analyzed 64 financial ratios of 6 thousand companies that went bankrupt and built a Logistic Regression classification model to predict bankruptcy. Feature selection is performed with Simulated Annealing to extract the optimal subset of features that maximizes Accuracy rate.
User: lucamanfredi
metaheuristic-optimisation,Tabu Search algorithm for the Crew Scheduling Problem, using a modified Prins encoding.
User: luismescobarf
metaheuristic-optimisation,Implementation of Generic Algorithm
User: mateuszlesko
metaheuristic-optimisation,Evolutionary Support Vector Machine
User: mhassonah
metaheuristic-optimisation,A toolkit for MetaHeuristics implemented in Python
User: michaelistrofficus
metaheuristic-optimisation,Large suite of algorithms for black-box optimization in C++ with python wrappers.
User: mike-gimelfarb
Home Page: https://cocoa-optimizers.readthedocs.io/en/latest/
metaheuristic-optimisation,All courses assignements, exams and projects done during the year study at Data ScienceTech Institute (DSTI).
User: mrsebai
metaheuristic-optimisation,A collection of the most commonly used Optimisation Algorithms for Data Science & Machine Learning
User: muradmustafayev-03
metaheuristic-optimisation,Routing problem in heterogeneous fleet is discussed.
User: nisanurbulut
metaheuristic-optimisation,This repository contains 4 metaheuristic search algorithm for optimization
User: onursahin20
metaheuristic-optimisation,bin packing problem best fit and metaheuristics. genetic algorithm, bonus particle swarm optimization. comparing both algorithms
User: roaked
metaheuristic-optimisation,Timefold Solver is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.
Organization: timefoldai
Home Page: https://timefold.ai
metaheuristic-optimisation,C++ template classes of metaheuristic algorithms including GA, NSGA2, NSGA3, PSO,AOS, etc
User: tokinobug
metaheuristic-optimisation,A Python implementation of the paper "Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel" https://arxiv.org/abs/1512.00708
User: tsyet12
metaheuristic-optimisation,A Python package to solve Countdown's number round using metaheuristics.
User: vicdoja
Home Page: https://vicdoja.github.io/
metaheuristic-optimisation,Genetic Algorithm as an approach to select image restoration parameters that provides the greatest improvement to a turbid underwater image.
User: vintousan
Home Page: https://ieeexplore.ieee.org/document/9293849
metaheuristic-optimisation,This is a project of portfolio optimization using Quantum-inspired Tabu Search and Trend Ratio
User: xjcheam
metaheuristic-optimisation,A unpublished package of variant of Quantum-inspired Tabu Search
User: xjcheam
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