Opposition based learning: A literature review
Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
A review of the bat algorithm and its varieties for industrial applications
Abstract The Bat Algorithm (BA) is a prominent metaheuristic algorithm inspired by the
echolocation behavior of bats, renowned for its efficiency in solving complex optimization …
echolocation behavior of bats, renowned for its efficiency in solving complex optimization …
Load frequency control of an autonomous hybrid power system by quasi-oppositional harmony search algorithm
G Shankar, V Mukherjee - International Journal of Electrical Power & …, 2016 - Elsevier
This paper deals with a novel quasi-oppositional harmony search algorithm (QOHSA) based
design of load frequency controller for an autonomous hybrid power system model (HPSM) …
design of load frequency controller for an autonomous hybrid power system model (HPSM) …
Bat algorithm with triangle-flipping strategy for numerical optimization
Bat algorithm (BA) is a novel population-based evolutionary algorithm inspired by
echolocation behavior. Due to its simple concept, BA has been widely applied to various …
echolocation behavior. Due to its simple concept, BA has been widely applied to various …
Adaptive inertia weight Bat algorithm with Sugeno-Function fuzzy search
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 …
different sort of global optimization problems. In the optimization of continuous data, BA …
Dynamic opposite learning enhanced artificial ecosystem optimizer for IIR system identification
Y Niu, X Yan, Y Wang, Y Niu - The Journal of Supercomputing, 2022 - Springer
The contrive principle of the adaptive infinite impulse response (IIR) filter is to find the filter
parameters based on the error function, thus obtaining the best model of the unbeknown …
parameters based on the error function, thus obtaining the best model of the unbeknown …
Design and modeling of adaptive IIR filtering systems using a weighted sum-variable length particle swarm optimization
The use of optimization algorithms for designing Infinite Impulse Response (IIR) filters has
been considered in many studies. The concern in this area is the multimodal error surface of …
been considered in many studies. The concern in this area is the multimodal error surface of …
A novel quasi-oppositional harmony search algorithm for automatic generation control of power system
CK Shiva, V Mukherjee - Applied Soft Computing, 2015 - Elsevier
This paper presents the significances of a novel quasi-oppositional harmony search
(HS)(QOHS) algorithm in the context of automatic generation control (AGC) of power system …
(HS)(QOHS) algorithm in the context of automatic generation control (AGC) of power system …
A novel bat algorithm based on collaborative and dynamic learning of opposite population
J Yong, F He, H Li, W Zhou - 2018 IEEE 22nd International …, 2018 - ieeexplore.ieee.org
As a new kind of swarm intelligence algorithms, bat algorithm is inspired by the bat's
echolocation model to search an optimization solution. In this paper, we propose a novel bat …
echolocation model to search an optimization solution. In this paper, we propose a novel bat …
A modified bat algorithm with torus walk for solving global optimisation problems
Bat algorithm (BA) has been widely used to solve the diverse kinds of optimisation problems.
In accordance with the optimisation problems, balance between the two major components …
In accordance with the optimisation problems, balance between the two major components …