Introduction: Particle swarm optimization (PSO) is an optimization technique based on the simulation of social behavior, such as the foraging of flocks of birds. Since PSO was introduced, it has been successfully applied to many optimization problems, from simple function optimization to complex engineering design problems. This article will delve into how to implement the […]
Tag: objective
NetworkMoyaBase objective-c and swift common network packaging library
Overall description The network encapsulation library implemented through Moya and Alamofire adapts to business calls that support objective-c projects and complete swift projects. The data returned by the network is JSON parsed through swiftyJSON, and the oc data structure of the data is implemented through HandyJSON and YYModel respectively. Conversion and conversion of swift data […]
Such a simple and easy-to-understand code has no one to read it? Multi-objective particle swarm optimization, directly copy the MATLAB code, suitable for novices! …
The multi-objective particle swarm algorithm was introduced in the last issue, but because it was placed second in the article, very few people saw it. The algorithm is simple and easy to understand, and is very suitable for those who are just getting started with multi-objective algorithms. If you want to improve other single-objective optimization […]
Multi-objective particle swarm optimization, directly copy the MATLAB code, suitable for novices!
The multi-objective particle swarm optimization algorithm is the most widely used and the most classic multi-objective optimization algorithm. Various master’s and doctoral articles apply it in various fields. Today I will bring you a multi-objective particle swarm algorithm. Different from most multi-objective particle swarm codes on the Internet, the multi-objective particle swarm optimization algorithm given […]
MOPSO Multi-Objective Particle Swarm (Matlab)
MOPSO This paper presents a method for incorporating Pareto dominance into particle swarm optimization (PSO) to allow this heuristic to handle problems with multiple objective functions. Unlike other current schemes that extend PSO to solve multi-objective optimization problems, our algorithm uses a secondary (i.e., external) library of particles that are later used by other particles […]
Multi-objective optimization algorithm gray wolf optimization algorithm (MOGWO)
The ultimate goal of a multi-objective optimization algorithm is to find a very accurate approximation to the true Pareto optimal solution with the highest diversity. This allows decision makers to have a variety of design options. Multi-objective gray wolf algorithm MOGWO, the code is written very clearly, it is recommended that novices can learn from […]
CEC2009 unconstrained multi-objective test set (UF1-UF10, with Matlab code)
Directory 1. CEC2009 unconstrained multi-objective test set 2. CEC2009 unconstrained multi-objective test set UF1-UF10Matlab code 3. Multi-objective gray wolf algorithm test CEC2009 unconstrained multi-objective test set 1. CEC2009 unconstrained multi-objective test set 2. CEC2009 unconstrained multi-objective test set UF1-UF10Matlab code % cec09.m % The Matlab version of the test instances for CEC 2009 Multiobjective % […]
use gnustep objective-c
first app #import <Foundation/Foundation.h> int main(int argc, const char * argv[]) {<!– –> NSAutoreleasePool *pool = [NSAutoreleasePool new]; NSLog(@”first start”); [pool drain]; return 0; } tech Focus on concepts instead of getting lost in language technical details The purpose of a programming language is to become a better programmer; that is, to become more effective […]
Detailed comments and explanations of the Matlab code of the Multi-Objective Gray Wolf Algorithm (MOGWO)
Directory 1. External Population Archive Mechanism 2. Leader Selection Mechanism 3. Operation steps of multi-objective gray wolf algorithm Fourth, MOGWO’s Matlab part of the code detailed comments 5. Explanation of MOGWO Algorithm Difficulties 5.1 Mesh and expansion factor 5.2 Roulette method to select each hypercube probability In order to apply Gray Wolf Algorithm to multi-objective […]
Solving the single-objective optimization problem based on the Golden Eagle algorithm (GoldenEagleOptimizer, GEO) with matlab code
?Author’s brief introduction: A Matlab simulation developer who loves scientific research. He cultivates his mind and technology at the same time. Matlab project cooperation can be privately messaged. Personal homepage: Matlab Research Studio Personal creed: Investigate knowledge. For more Matlab simulation content click Intelligent optimization algorithm Neural network prediction Radar communication Wireless sensor Power system […]