nanachi-1 Goto Github PK

a-competitive-learning-based-grey-wolf-optimizer-for-engineering-and-its-application-to-power-flow-o

A Competitive learning-based Grey Wolf Optimizer for Engineering and its application to Power Flow Optimization Problems

a-competitive-learning-based-grey-wolf-optimizer-for-engineering-problems-and-its-application-to-pow

A Competitive learning-based Grey Wolf Optimizer for Engineering Problems and its application to Power Flow Optimization Problems

aco_for_fjsp

this repo is used to solve Flexible Job shop scheduling Problem by ACO

adbet-woa

Adaptive Beta Hill Climbing Aided Whale Optimization Algorithm (AdBet-WOA)

balancedcrossoverga

Java code and experimental data for balanced crossover operators in Genetic Algorithms

bees-rl-optimizer

a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection

black_hole_optimization_algorithm-bh

This is a simple example program in 2-D for solve problems by Black Hole Optimization Algorithm(BH). Where the variables in two dimensions are x1 and x2.

blackhole_swarm_alghorithm

Implementation of Black hole: A new heuristic optimization approach for data clustering. Author of algorithm is: Abdolreza Hatamlou

cec-single-test-suite

Collection of test suites including CEC2005, CEC2013, CEC2019 benchmarks

cec2005real

Python version of the CEC'2005 Special Session benchmark

chaotic-particle-swarm

An implementation of the Chaotic Particle Swarm algorithm found in the paper: Improved particle swarm optimization combined with chaos

dbo_python

Dung Beetle Optimizer (DBO) is a new swarm intelligent optimization algorithm, which was proposed in 2022. It is mainly inspired by the biological behavior of dung beetles. It is characterized by strong optimization seeking ability and fast convergence speed.

deep-reinforcement-ant-colony-optimization-

Swarm learning algorithm

deepaco

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

deeprlvizdoom

Implementing a Deep Reinforcement Learning algorithm capable of learning to play VizDoom, optimized through Particle Swarm Optimization algorithm

dung-beetle-optimizer

Matlab and Python code of Dung Beetle Optimizer

elite-opposition-based-golden-sine-whale-optimization-algorithm

肖子雅, 刘升. 精英反向黄金正弦鲸鱼算法及其工程优化研究[J]. 电子学报, 2019, 47(10): 2177-2186.

enhanced-whale-optimization-algorithm2

A. Kaveh and M. Ghazaan, "Enhanced whale optimization algorithm for sizing optimization of skeletal structures", Mechanics Based Design of Structures and Machines, vol. 45, no. 3, pp. 345-362, 2016.

fjsp_fp_ga

ga_for_hfsp

HFSP: Hybrid Flow Shop Scheduling Problem

game-theoretic-deep-reinforcement-learning

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

genetic-algorithm-crossover-operators

Comparing performance of single point crossover, two point crossover, cut and splice, uniform crossover in Generic Algorithm for 8 queens problem

geneticalgorithm

A standard genetic algorithm with multiple crossover and mutation options

harris-hawks-optimization-hho---python-code

Harris Hawks Optimization (HHO) - Python Code

ihho

This is a scientific project of implementation a meta-heuristic algorithm for task scheduling named (Improved Harris Hawk Optimization)

improved-woa-based-on-nonlinear-adaptive-weight-and-golden-sine-operator

J. Zhang and J. Wang, "Improved Whale Optimization Algorithm Based on Nonlinear Adaptive Weight and Golden Sine Operator", IEEE Access, vol. 8, pp. 77013-77048, 2020.

improvedblackholeoptimization

Implementation of Improved Black Hole Optimization Algorithm by Deeb et al. (2020)

isoma-rl

k-point_crossover_genetic_algorithm

levy-fight-trajectory-based-whale-optimization-algorithm

Y. Ling, Y. Zhou and Q. Luo, "Lévy Flight Trajectory-Based Whale Optimization Algorithm for Global Optimization", IEEE Access, vol. 5, pp. 6168-6186, 2017.