By virtue of the collective and interdependent behavior of its candidates, a swarm organizes
itself to achieve a particular task. Similarly, inspired from the natural and social tendency of …

Abstract Recently, several socio-/bio-inspired algorithms have been proposed for solving a
variety of problems. Generally, they perform well when applied for solving unconstrained …

In this study, the performance of an emerging socio inspired metaheuristic optimization
technique referred to as Cohort Intelligence (CI) algorithm is evaluated on discrete and …

A cohort refers to a group of candidates interacting and competing with one another. The
basic idea of cohort is inspired from the social tendency of following/learning from one …

Most of the contemporary nature-/bio-inspired techniques are unconstrained algorithms.
Their performance may get affected when dealing with the constrained problems. There are …

The approach of probability collectives (PC) in the collective intelligence (COIN) framework
is one of the emerging artificial intelligence tools dealing with the complex problems in a …

The truss sizing optimization problem, where the cross-sectional areas of truss members are
optimized, is a nonlinear and complex problem. The problem becomes quite challenging …

The nature-/bio-/socio-inspired optimisation techniques can efficiently handle unconstrained
problems; however, their performance gets significantly affected when applied for solving …

Almost all existing heuristic techniques are unconstrained optimisation methods and treat
the system in centralised way. A distributed and decentralised optimisation technique in the …

The configuration of the aerospace vehicle of tomorrow marches forward in complexity in
step with technological advances in computation, materials, propulsion, and beyond. One of …