Golden Jackal Optimization Algorithm for Single Objective Optimization with MATLAB Code

Golden Jackal Optimization Algorithm for Single Objective Optimization with MATLAB Code

1 Introduction A new nature-inspired optimization method called the Golden Jackal Optimization (GJO) algorithm is proposed to provide an alternative optimization approach for solving real-world engineering problems. The inspiration for GJO comes from the cooperative hunting behavior of the golden jackal (Canis aureus). The three basic steps of the algorithm are prey searching, encircling, and … Read more

Dingo Optimization Algorithm for Single Objective Optimization with MATLAB Code

Dingo Optimization Algorithm for Single Objective Optimization with MATLAB Code

1 Content Introduction The African wild dog primarily lives in the dry grasslands and semi-arid regions of Africa. They are often found in grasslands, savannas, and open dry shrublands. They usually live in packs with a territory ranging from 200 to 2000 square kilometers, using vocalizations for positioning. They hunt cooperatively, targeting medium-sized ungulates, reaching … Read more

Dynamic Pricing and Energy Management of Multi-Virtual Power Plants Based on Meta-Model Optimization Algorithm

Dynamic Pricing and Energy Management of Multi-Virtual Power Plants Based on Meta-Model Optimization Algorithm

Click the blue text above to follow us 📋📋📋 The content of this article is as follows: 🎁🎁🎁 Table of Contents 💥1 Overview 📚2 Results 🎉3 References 🌈4 Matlab Code, Data, Article 1 Overview Currently, scholars both domestically and internationally have conducted considerable research on the generation scheduling of virtual power plants (VPPs) from the … Read more

Differential Evolution Algorithm: Python Implementation and Detailed Explanation

Differential Evolution Algorithm: Python Implementation and Detailed Explanation

Click the blue text above to follow us The Differential Evolution (DE) algorithm is a population-based global optimization algorithm proposed by Rainer Storn and Kenneth Price in 1995. It is suitable for solving nonlinear, multimodal, and high-dimensional optimization problems, with advantages such as simple implementation, few parameters, and fast convergence speed. Detailed Algorithm Steps 1. … Read more

MATLAB Source Code – Issue 366: Robot Grid Path Planning Based on the Spotted Hyena Optimization Algorithm (SHO), Outputting Shortest Path Graphs and Fitness Curves

MATLAB Source Code - Issue 366: Robot Grid Path Planning Based on the Spotted Hyena Optimization Algorithm (SHO), Outputting Shortest Path Graphs and Fitness Curves

Operating Environment: MATLAB 2024a 1. Algorithm Description The Spotted Hyena Optimizer (SHO) is a novel nature-inspired intelligent optimization algorithm, inspired by the social structure, group cooperation, and hunting behaviors of spotted hyenas in the wild. This algorithm demonstrates strong convergence and global search capabilities when solving complex optimization problems, and has potential applications in various … Read more

Transient Trigonometric Harris Hawks Optimizer: Detailed Principles and Free MATLAB Code

Transient Trigonometric Harris Hawks Optimizer: Detailed Principles and Free MATLAB Code

The Transient Trigonometric Harris Hawks Optimizer (TTHHO) is a hybrid optimization algorithm inspired by the Transient Search Optimizer (TSO) and the Harris Hawks Optimizer. This algorithm intelligently explores the search space and adaptively optimizes the positions of grid nodes while considering various constraints and objectives. It integrates the advantages of HHO, SCA, and TSO, aiming … Read more

Particle Swarm Optimization Algorithm for Solving Model Parameters (Including MATLAB Code)

Particle Swarm Optimization Algorithm for Solving Model Parameters (Including MATLAB Code)

Particle Swarm Optimization Algorithm ※ Table of Contents (1) Algorithm Introduction; (2) Algorithm Process; (3) Advantages and Disadvantages of the Algorithm and Improvements; (4) Application Areas; (5) MATLAB Code Example; ※ 1. Algorithm Introduction The Particle Swarm Optimization (PSO) algorithm is a type of swarm intelligence optimization algorithm proposed by Kennedy and Eberhart in 1995, … Read more