The application of optimization theory and the algorithms that are generated from it has
increased along with science and technology's continued advancement. Numerous issues …

Chicken Swarm Optimization (CSO) algorithm was introduced first in 2014 and its main
inspiration is the intelligence of the chicken swarms. The chapter is organized as follows: the …

Abstract Chicken Swarm Optimization (CSO) is a novel swarm intelligence-based algorithm
known for its good performance on many benchmark functions as well as real-world …

A new bio-inspired algorithm, Chicken Swarm Optimization (CSO), is proposed for
optimization applications. Mimicking the hierarchal order in the chicken swarm and the …

Traditional optimization methods rely on parameter selection and a require high
mathematical performance of the objective function. Thus, swarm intelligence optimization …

Solving a complex optimization problem in a limited timeframe is a tedious task.
Conventional gradient-based optimization algorithms have their limitations in solving …

This paper proposes a Modified Chicken Swarm Optimization (MCSO) in which the local
optima and early convergence problem of Chicken Swarm Optimization (CSO) is addressed …

The chicken swarm optimization (CSO) is a novel swarm intelligence algorithm, which
mimics the hierarchal order and foraging behavior in the chicken swarm. However, like other …

In this paper, a hybrid improved flock optimization algorithm (Powell-LCSO) is proposed to
overcome the shortcomings of the traditional flock optimization algorithm (CSO) which is …

A new bio-inspired algorithm, namely Bird Swarm Algorithm (BSA), is proposed for solving
optimisation applications. BSA is based on the swarm intelligence extracted from the social …