This study introduces the extension of currently developed Seagull Optimization Algorithm
(SOA) in terms of multi-objective problems, which is entitled as Multi-objective Seagull …

Recently, convolutional neural networks (CNNs) have achieved great success in the field of
artificial intelligence, including speech recognition, image recognition, and natural language …

This study introduces the evolutionary multi-objective version of seagull optimization
algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm …

Grey wolf algorithm (GWO) is a classic swarm intelligence algorithm, but it has the
disadvantages of slow convergence speed and easy to fall into local optimum on some …

Thermal management of heat-generating battery packs involve many operating parameters
affecting its performance, efficiency, and maintenance. Heat generation (Q gen), conductivity …

With the development of globalization, distributed manufacturing has become one of the
main modes of manufacturing. The situation in which a number of heterogeneous factories …

Artificial bee colony (ABC) algorithm is a relatively new paradigm of swarm intelligence
based optimization technique, which has attracted a lot of attention for its simple structure …

This article solves first and second order differential equations with initial and/or boundary
conditions by transforming these equations into unconstrained/bound constrained …

Artificial bee colony (ABC) algorithm is one of the branches of swarm intelligence. Several
studies proved that the original ABC has powerful exploration and weak exploitation …

Swarm intelligence algorithms have been widely used in both research and engineering
fields, but they face the problems of low accuracy and premature convergence, which limit …