Battle royal optimizer

Dear Salawudeen Ahmed Tijani,

I suggest you to see links on topic.

. https://doi.org/10.3390/math9182335

https://www.sciencedirect.com/science/article/abs/pii/S0360835219304991

https://link.springer.com/article/10.1007/s11047-020-09824-0

https://onlinelibrary.wiley.com/doi/10.1002/int.22535?af=R

Article Cat and Mouse Based Optimizer: A New Nature-Inspired Optimiz...

Article Metaheuristic algorithms for one-dimensional bin-packing pro...

Article A new taxonomy of global optimization algorithms

Best regards

It may help:

https://www.sid.ir/en/journal/ViewPaper.aspx?id=494476

By using the dynamic FDB selection method, you can transform meta-heuristic search algorithms into a more powerful and efficient method. For this, you should analyze the guide selection process in the meta-heuristic search algorithm and integrate the dynamic FDB selection method into this process. In the uploaded source codes, we applied the dFDB method in the guide selection process of the MRFO algorithm and achieved a unique improvement in the performance of the MRFO. If you read the article that introduces the source codes and the dFDB-MRFO algorithm, you can redesign different algorithms with the dFDB selection method and improve their performance.

Manta Ray Foraging Optimizer has been redesigned using the dFDB method, and thus the dFDB-MRFO algorithm has been developed with improved search performance. dFDB-MRFO is an up-to-date and powerful meta-heuristic search algorithm that can be used to solve single-objective optimization problems.

paper link: https://link.springer.com/article/10.1007/s10489-021-02629-3

paper link: https://rdcu.be/cqFmD

https://www.mathworks.com/matlabcentral/fileexchange/96113-dfdb-mrfo-a-powerful-meta-heuristic-optimization-algorithm?s_tid=srchtitle

Maybe you can find some on the EC-Bestiary repository:

https://github.com/fcampelo/EC-Bestiary

I would like to invite you to have a look on the following links.

SSO: https://www.mathworks.com/matlabcentral/fileexchange/92150-sperm-swarm-optimization-sso

HSSOGSA: https://www.mathworks.com/matlabcentral/fileexchange/92130-hssogsa?s_tid=srchtitle

MOSFP: https://github.com/sh7adeh1990/MOSFP

Article Henry gas solubility optimization: A novel physics-based algorithm

https://www.sciencedirect.com/science/article/pii/S0952197620301482

Article Archimedes optimization algorithm: a new metaheuristic algor...

Article Honey Badger Algorithm: New Metaheuristic Algorithm for Solv...

Please see this (9)

(PDF) Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications (researchgate.net)

(9) Future of Nature Inspired Algorithm, Swarm and Computational Intelligence | Request PDF (researchgate.net)

Book Metaheuristic Optimization: Nature-Inspired Algorithms Swarm...

Chapter Future of Nature Inspired Algorithm, Swarm and Computational...

Book Metaheuristic Optimization: Nature-Inspired Algorithms Swarm...

One of the latest metaheuristic techniques is Bonobo Optimizer (BO). It has been published in the reputed Journal named Applied Intelligence (A. K. Das and D. K. Pratihar, "Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems," Applied Intelligence, pp 1-33, 2021. doi:https://doi.org/10.1007/s10489-021-02444-w).

The source code of BO is available at:

https://in.mathworks.com/matlabcentral/fileexchange/92703-bonobo-optimizer-bo

Another paper containing a comprehensive list of metaheuristic algorithms:

Article Comprehensive Taxonomies of Nature- and Bio-inspired Optimiz...

Why to search for new ones, in this paper, according to theoretical and practical comparisons, there is not a big difference between different metaheuristics optimization algorithms. So, new algorithms not always help to obtain the best results.

Presentation A conceptual and practical comparison of PSO-style optimizat...

If you need the source paper, just send me.

Hello,

I think you the following links can be helpful for you:

https://www.mathworks.com/matlabcentral/fileexchange/92150-sperm-swarm-optimization-sso

https://www.sciencedirect.com/science/article/abs/pii/S0950705121007486

I should mention that there are other methods as well.

This database contains the majority of nature-inspired methods (we've not included meta-heuristics that are not inspired by nature, as it is stated in the article): Article A comprehensive database of Nature-Inspired Algorithms

I'm trying to update it every some months, but I didn't have the time to do it yet for the last 3-4 months. And the rate of occurrence of new methods is very high (approx. 30-40 algorithms per month)...

The database contains also useful information about the algorithms, so it is useful in many ways. For example, if someone performs a survey on a specific area, they can focus on the algorithms that were initially applied on a specific problem, or they can focus on the algorithms that have applications within a specific area (e.g. OR, Engineering, etc.)

"Q-Learning Embedded Sine Cosine Algorithm (QLESCA)"

Article Q-learning embedded sine cosine algorithm (QLESCA)

Available online 26 December 2021

Here is a list of some of the latest meta-heuristic algorithms proposed for 2020-2021. Click "Read more" to see the full list.

Integrated optimization algorithm (IOA) (Dec. 2021)

Improved AOA (Dec. 2021)

Reptile Search Algorithm (RSA) (Nov. 2021)

Human Eye Vision Algorithm (Oct. 2021)

Honey Badger Algorithm (Sep. 2021)

Chaotic Hunger Games Search Optimization algorithm (Sep. 2021)

Coronavirus Optimization Algorithm (August 2021)

Artificial Gorilla Troops Optimizer (GTO) (July 2021)

Remora optimization algorithm (July 2021)

African vultures optimization algorithm (AVOA) (May 2021)

Aquila Optimizer (AO) (March 2021)

Arithmetic Optimization Algorithm (AOA) (Jan. 2021)

Horse herd optimization algorithm (HOA) (Dec. 2020)

Red fox optimization algorithm (RFO) (Oct. 2020)

Archimedes optimization algorithm (AOA) (Sep. 2020)

Coronavirus Optimization Algorithm (Aug. 2020)

Smart Flower Optimization Algorithm (SFOA) (July 2020)

Battle royale optimization algorithm (BRO) (June 2020)

Slime mould algorithm (SMA) (April 2020)

Red deer algorithm (RDA) (March 2020)

Marine Predators Algorithm (MPA) (March 2020)

A knee point-driven multi-objective artificial flora optimization algorithm (kpMOAF) (Jan. 2020)

Article A Q-Learning-Based Topology-Aware Routing Protocol for Flyin...

DEAR Salawudeen Ahmed Tijani

please consider these references such as

Recent Metaheuristics Algorithms for Parameter Identification

• DOI:10.1007/978-3-030-28917-1

Metaheuristic Algorithms,DOI:10.1002/9781119453628.ch2

• In book: Metaheuristics for Structural Design and Analysis

Introduction to Metaheuristic Algorithms,DOI:10.1201/9781003245193-1

• In book: Constraint Handling in Cohort Intelligence Algorithm, GOOD LUCK

Article Artificial bee colony algorithm with directed scout

Salawudeen Ahmed Tijani

1-Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems

2-African Vultures Optimization Algorithm: A New Nature-Inspired Metaheuristic Algorithm for Global Optimization Problems

3-Artificial Gorilla Troops Optimizer: A New Nature-Inspired Metaheuristic Algorithm for Global Optimization Problems

4-

I believe that the following paper could be very useful in this case:

Aranha, C. et al. (2021) ‘Metaphor-based metaheuristics, a call for action: the elephant in the room’, Swarm Intelligence, (0123456789). doi: 10.1007/s11721-021-00202-9.

You may interested in these two algorithms proposed in 2022:

Reptile Search Algorithm (RSA):

Artificial hummingbird algorithm (AHA)

Hi,

Here's an update to the answer, please take a look at links on the topic.

https://mdpi-res.com/d_attachment/applsci/applsci-12-00896/article_deploy/applsci-12-00896.pdf

https://www.mdpi.com/journal/algorithms/special_issues/Metaheuristic_Algorithms

Best regards

Tangent search algorithm for solving optimization problems metaheuristics based on new tangent flight.

X=X+tan(rand*pi) % large flight

or

X=X+ sign(rand-0.5)*tan(rand*pi/2.5) % small flight

Layeb, Abdesslem. "Tangent search algorithm for solving optimization problems." Neural Computing and Applications (2022): 1-32.

https://www.mathworks.com/matlabcentral/fileexchange/89897-tangent-search-algorithm-for-solving-optimization-problem?s_tid=srchtitle

Chapter Metaheuristic Algorithms

Chapter Introduction to Metaheuristic Algorithms

https://www.mdpi.com/journal/algorithms/special_issues/Metaheuristic_Algorithms

Best regards

Article Poplar Optimization Algorithm: a new meta-heuristic optimiza...

Article A New Optimization Algorithm Inspired by the Quest for the E...

Article Dwarf Mongoose Optimization Algorithm

Article Snake Optimizer: A novel meta-heuristic optimization algorithm

Article A novel nomad migration-inspired algorithm for global optimization

Article Pelican Optimization Algorithm: A Novel Nature-Inspired Algo...

Here are two algorithms that inspired by mathematical models ,have strong exploitation capabilities but poor development capabilities：

Linear prediction evolution algorithm: a simplest evolutionary optimizer

DOI: https://doi.org/10.1007/s12293-021-00340-x

A novel evolutionary algorithm based on even difference grey model

DOI:https://doi.org/10.1016/j.eswa.2021.114898

Hope you find it helpful and good luck!

Dear Dr. Tijani,

I have here a list of bio-inspired metaheuristic algorithms that are used for solar cell optimization problem

Younis, A., Bakhit, A., Onsa, M., and Hashim, M. " A Comprehensive and Critical Review of Bio-inspired Metaheuristic Frameworks for Extracting Parameters of Solar Cell Single and Double Diode Models." Energy Reports 8C (2022) 7085-7106

The published paper for this problem.

Beluga whale optimization: A novel nature-inspired metaheuristic algorithm (June 2022)

White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems (March 2022)

Here is the list

• INFO: An Efficient Optimization Algorithm
• Runge Kutta Optimizer
• Dwarf Mongoose Optimization Algorithm
• Artificial gorilla troops optimizer
• Artificial Hummingbird Algorithm
• Hunger Games Search
• Reptile Search Algorithm
• Aquila Optimizer
• Gradient-Based Optimizer

Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications (July 2022)

GOZDE: A novel metaheuristic algorithm for global optimization (June 2022)

Coronavirus Optimization Algorithm (2020)

Coronavirus Optimization Algorithm (2020)

Check this out:

Virus Optimization Algorithm

Article A novel metaheuristic for continuous optimization problems: ...

Check this out.

Aquila Optimizer Algorithm

DOI: http://doi.org/10.11591/ijpeds.v13.i1.pp216-222

squirrel search algorithm (SSA),

improved squirrel search algorithm (ISSA),

grey wolf optimiser (GWO) algorithm,

random walk grey wolf optimiser (RW_GWO) algorithm,

sailfish optimiser (SAO) algorithm,

sandpiper optimisation algorithm (SOA),

search and rescue operations (SRO) algorithm,

slime mould optimisation (SMO) algorithm,

grasshopper optimisation algorithm (GOA) and

opposition based learning grasshopper optimisation algorithm (OBLGOA).

equilibrium optimizer (EQ),

bat optimization (BAT), and

black-hole-based optimization (BHB) algorithms

You must read this first

Metaphor-based metaheuristics, a call for action: the elephant in the room

https://doi.org/10.1007/s11721-021-00202-9

Dear Colleagues,

Kindly consider submitting in this special issue.

There are limited APC discounts for accepted manuscripts.

I am among the Guest Editors for this special issue.

https://www.mdpi.com/journal/sustainability/special_issues/9KERINW1YZ

Looking forward to your submission.

Kind Regards

#mdpi #neural network #transportation #metaheuristics algorithm

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This article lists many recent metaheuristic algorithms from the year 2020-2022.