For a decade swarm Intelligence deals with the design of intelligent multi-agent systems by taking inspiration from the collective behaviors of social insects and other animal societies. They are characterized by a decentralized way of working that mimics the behavior of the swarm. Swarm Intelligence is a successful paradigm for the algorithm with complex problems. The aim of this review paper ...

Swarm intelligent systems are simple but robust, capable of solving complex problems that no single agent could attempt. While technological advancements have driven development of multi-agent systems across disciplines, emergent behavior inherent to swarms is a desirable yet difficult property to exploit. Solutions utilizing swarm behavior have been proposed for the Cooperative Cleaning Proble...

Swarm intelligence is an intelligence emergent phenomenon aiming at the interaction of the simple intelligent individuals of nature biological groups having complex intelligent behavior. The vector model is based on the multi-Agent fish swarm environment, and the main body and the behavior regulation has been established in the article during the analysis of school fish moving, looking for food...

In order to improve and accelerate the speed of image integration, an optimal and intelligent method for multi-focus image fusion is presented in this paper. Based on particle swarm optimization and quantum theory, quantum particle swarm optimization (QPSO) intelligent search strategy is introduced in salience analysis of a contrast visual masking system, combined with the segmentation techniqu...

One of the great threat to service availability in cloud computing is Distributed Denial of Service. Here a novel approach has been proposed to minimize DDoS attacks. This has been planned to achieve by an intelligent fastflux swarm network. An intelligent swarm network is required to ensure autonomous coordination and allocation of swarm nodes to perform its relaying operations. Intelligent Wa...

Agents controlled by a swarm algorithm interact with each other so that they have collective capabilities that a single agent does not have. The bio-inspired swarm-algorithm “BEECLUST” has the aim to aggregate a swarm at the global optimum even if there are several local optima (of the same type) present. But what about gradients produced of different stimulus types? In this paper, we present t...

In this paper, the main aim is to exhibit swarm intelligence power in cloud based scenario. Heterogeneous environment has been configured at server-side network of the whole cloud network. In the proposed system, different types of servers are being used to manage useful assorted atmosphere. Swarm intelligence has been adopted for enhancing the performance of overall system network. Specific lo...

This paper presents an application of the artificial intelligent search technique to find parameters optimization of power system stabilizer (PSS) considering proportional-integral-derivative controller (PID) for a multi-machine power system. Gain settings of PID PSS which improve damping frequency of system are optimized by minimizing an objective function using the artificial intelligent sear...

Swarm robotics is an innovative approach to the control and coordination of a large number of multi-agent systems that use naturally inspired swarm intelligent methods to perform a task through emergent behaviors. A swarm based approach can decrease the complexity and the cost of designing a cooperative multi-robot system. This paper proposes a general engineering approach to develop a robotic ...