Adaptive inertia weight Bat algorithm with Sugeno-Function fuzzy search

HT Rauf, S Malik, U Shoaib, MN Irfan, MI Lali - Applied Soft Computing, 2020 - Elsevier
Bat algorithm (BA) turns into the most generally utilized meta-heuristic algorithm to solve the
different sort of global optimization problems. In the optimization of continuous data, BA …

[PDF][PDF] New Modified Controlled Bat Algorithm for Numerical Optimization Problem.

WH Bangyal, A Hameed, J Ahmad, K Nisar… - … , Materials & Continua, 2022 - academia.edu
Bat algorithm (BA) is an eminent meta-heuristic algorithm that has been widely used to solve
diverse kinds of optimization problems. BA leverages the echolocation feature of bats …

Recent advances of bat-inspired algorithm, its versions and applications

ZAA Alyasseri, OA Alomari, MA Al-Betar… - Neural Computing and …, 2022 - Springer
Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

[HTML][HTML] Global optimization of economic load dispatch in large scale power systems using an enhanced social network search algorithm

MH Hassan, S Kamel, F Jurado, U Desideri - International Journal of …, 2024 - Elsevier
The primary objective of Economic Load Dispatch (ELD) is to determine the most efficient
distribution of power among generating units while considering various constraints, such as …

Suspended sediment load prediction based on soft computing models and Black Widow Optimization Algorithm using an enhanced gamma test

F Panahi, M Ehteram, M Emami - Environmental Science and Pollution …, 2021 - Springer
The suspended sediment load (SSL) prediction is one of the most important issues in water
engineering. In this article, the adaptive neuro-fuzzy interface system (ANFIS) and support …

Software cost estimation based on dolphin algorithm

AA Fadhil, RGH Alsarraj, AM Altaie - IEEE Access, 2020 - ieeexplore.ieee.org
Accurate Software Effort Estimation is of high importance with regard to Software Project
Management. It can be specified as the process for predicting Effort regarding costs, needed …

Review of nature inspired metaheuristic algorithm selection for combinatorial t-way testing

AA Muazu, AS Hashim, A Sarlan - IEEE Access, 2022 - ieeexplore.ieee.org
The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

Nature-inspired metaheuristic techniques for combinatorial optimization problems: Overview and recent advances

MA Rahman, R Sokkalingam, M Othman, K Biswas… - Mathematics, 2021 - mdpi.com
Combinatorial optimization problems are often considered NP-hard problems in the field of
decision science and the industrial revolution. As a successful transformation to tackle …

A systematic review on bat algorithm: Theoretical foundation, variants, and applications

T Agarwal, V Kumar - Archives of Computational Methods in Engineering, 2022 - Springer
Bat algorithm (BA) is a population-based metaheuristic algorithm inspired by echolocation
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …

Task allocation of intelligent warehouse picking system based on multi-robot coalition

F Xue, H Tang, Q Su, T Li - KSII Transactions on Internet and …, 2019 - koreascience.kr
In intelligent warehouse picking system, the allocation of tasks has an important influence on
the efficiency of the whole system because of the large number of robots and orders. The …