Physics

Sociology

Population

Mathematics

Economic growth

Premature convergence

Algorithm

Mathematical optimization

Demography

Artificial intelligence

Economics

Power (physics)

Control (management)

Chaotic

Convergence (economics)

Computer science

Quantum mechanics

Control theory (sociology)

Sonar

Particle swarm optimization

International Journal of Advances in Applied Sciences

&lt;span lang="EN-IN"&gt;In this work, a Chaotic based Pteropus algorithm (CPA) has been proposed for solving optimal reactive power problem. Pteropus algorithm imitates deeds of the Pteropus. Normally Pteropus while flying it avoid obstacles by using sonar echoes, particularly utilize time delay. To the original Pteropus algorithm chaotic disturbance has been applied and the optimal capability of the algorithm has been improved in search of global solution. In order to augment the population diversity and prevent early convergence, adaptively chaotic disturbance is added at the time of stagnation. Furthermore exploration and exploitation capability of the proposed algorithm has been improved. Proposed CPA technique has been tested in standard IEEE 14,300 bus systems &amp;amp; real power loss has been considerably reduced.&lt;/span&gt;

Chaotic based Pteropus algorithm for solving optimal reactive power problem