AN IMPROVED ARTIFICIAL ATOM ALGORITHM WITH THE OPERATOR OF SHUFFLED FROG LEAPING ALGORITHM

نویسندگان

چکیده

Artificial Atom Algorithm is an optimization technique that developed inspired by nature. This algorithm used for both continues problems and discrete in previous studies. In this study, arrangement would increase the success of was envisaged. For purpose, ionic bond function has been improved benefiting algorithmic step Shuffled Frog Leaping Algorithm. As a result updates, search space narrowed operator. Thus, state getting away from solution each iteration prevented. The Improved tested with benchmark functions. Experimental results proposed method were interpreted comparatively.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Improved Shuffled Frog Leaping Algorithm ⋆

In order to overcome the defects of Shuffled Frog Leaping Algorithm (SFLA) such as nonuniform initial population, slow searching speed in the late evolution and easily trapping into local extremum, a new Shuffled Frog Leaping Algorithm based on mutation operator and population diversity is proposed in this paper. The algorithm has overcome the disadvantage mentioned above. The algorithm efficie...

متن کامل

An Improved Shuffled Frog-Leaping Algorithm for Knapsack Problem

Shuffled frog-leaping algorithm (SFLA) has long been considered as new evolutionary algorithm of group evolution, and has a high computing performance and excellent ability for global search. Knapsack problem is a typical NP-complete problem. For the discrete search space, this paper presents the improved SFLA (ISFLA), and solves the knapsack problem by using the algorithm. Experimental results...

متن کامل

Centroid Mutation Embedded Shuffled Frog-Leaping Algorithm

Stochastic search algorithms that take their inspiration from nature are gaining a great attention of many researchers to solve high dimension and non – linear complex optimization problems for which traditional methods fails. Shuffled frog – leaping algorithm (SFLA) is recent addition to the family of stochastic search algorithms that take its inspiration from the foraging process of frogs. SF...

متن کامل

Use of the Improved Frog-Leaping Algorithm in Data Clustering

Clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. K-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. In recent years, several algorithms are provided based on evolutionary algorithms for cluster...

متن کامل

Two-Phases Learning Shuffled Frog Leaping Algorithm

In order to overcome the drawbacks of standard shuffled frog leaping algorithm that converges slowly at the last stage and easily falls into local minima, this paper proposed two-phases learning shuffled frog leaping algorithm. The modified algorithm added the elite Gaussian learning strategy in the global information exchange phase, updated frog leaping rule and added the learning capability t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Ad?yaman Üniversitesi mühendislik bilimleri dergisi

سال: 2022

ISSN: ['2149-0309']

DOI: https://doi.org/10.54365/adyumbd.1080995