A novel approach of integrating two swarm intelligence algorithms is considered, one simulating the behaviour of birds flocking (Particle Swarm Optimisation) and the other one (Stochastic Diffusion Search) mimics the recruitment behaviour of one species of ants – Leptothorax acervorum. This hybrid algorithm is assisted by a biological mechanism inspired by the behaviour of blood flow and cells ...

A novel approach of integrating two swarm intelligence algorithms is considered, one simulating the behaviour of birds flocking (Particle Swarm Optimisation) and the other one (Stochastic Diffusion Search) mimics the recruitment behaviour of one species of ants – Leptothorax acervorum. This hybrid algorithm is assisted by a biological mechanism inspired by the behaviour of blood flow and cells ...

Nature-inspired methodologies are currently among the most powerful algorithms for optimization problems. This paper presents a recent nature-inspired algorithm named Firefly algorithm (FA) for automatically evolving a fuzzy model from numerical data. FA is a meta-heuristic inspired by the flashing behavior of fireflies. The rate and the rhythmic flash, and the amount of time form part of the s...

This Chapter summarizes some of the well known stigmergic computational techniques inspired by nature, mainly for optimization problems developed by mimicking social insects’ behavior. Some facts about social insects namely ants, bees and termites are presented with an emphasis on how they could interact and self organize for solving real world problems. We focused on ant colony optimization al...

A natural river often finds good paths among lots of possible paths in its ways from the source to destination. These near optimal or optimal paths are obtained by the actions and reactions that occur among the water drops and the water drops with the riverbeds. The intelligent water drops (IWD) algorithm is a new swarm-based optimisation algorithm inspired from observing natural water drops th...

Since its advent, the resource constrained project scheduling problem has been a favorite NP-Hard studied by many researchers. In this paper, we examine with focus on total time minimization, usually known as makespan minimization. To end, nature-inspired Cuckoo Search Algorithm (CSA) introduced that works simulating brooding parasitism of some cuckoo birds in nature. nutshell, proposed search ...

In the present paper, a tool is proposed to optimally schedule charging requests of fleet carsharing Electric Vehicles (EVs) in an urban area, enable their participation Ancillary Service Market. The centralized scheduler minimizes imbalance EV with respect power commitment declared Day-Ahead Market, providing also tertiary reserve and balance control grid. regulation carried out by optimizing ...

This paper presents an overview of methods inspired by the behaviour of real ants in the nature which are currently in the focus of research and which have been used in the process of electrocardiogram interpretation and processing. The paper describes the use of dynamic time warping algorithm used together with ant colony inspired clustering and considers the relevant steps to speed up the alg...

The following pages describe our nature-inspired, or biomimetic, sonars. The biological features incorporated in our sonars include: 1. Binaural reception for accurate bearing determination. 2. Wide bandwidth pulses for object recognition. 3. Echo-controlled sensor mobility. 4. Separate transmitter and receivers for sensitivity of low-level echoes from close-by objects. 5. Nonlinear signal proc...