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 the recent high level of information security was attained by combining the concepts of
cryptography, steganography along with the nature inspired optimization algorithms …

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 …

Probability collectives (PC) is a recent agent-based search framework for function
optimisation through optimising parameters of a collection of probability distributions …

Mechanical Engineering domain problems are generally complex, consisting of different
design variables and constraints. These problems may not be solved using gradient-based …

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 …

Combinatorial optimization problems are very common in various fields. It involves finding
the best possible solution from a finite set of objects. Simply put, it is the process of …

This research on “Exploring the Challenges and Motivations of Female Married
Undergraduate Students English Department, Msllata" analyses the problems encountered …