Software systems, as currently engineered, are brittle and fragile. New ideas and a new set of engineering principles to effectively build flexible, robust, evolvable and efficient system is required. Swarm intelligent systems in which the paths to problem solving emerge as the result form interactions among individuals and between individuals and their environment seem some of the most promisi...

This paper presents the design, implementation and experiences of a new three hour experimental course taught for a joint undergraduate and graduate class at the University of Missouri-Rolla, USA. The course covers the four main paradigms of Computational Intelligence (CI) and their integration to develop hybrid systems. The paradigms covered are artificial neural networks (ANNs), evolutionary ...

The scheduling problem in distributed data-intensive computing environments has become an active research topic due to the tremendous growth in grid and cloud computing environments. As an innovative distributed intelligent paradigm, swarm intelligence provides a novel approach to solving these potentially intractable problems. In this paper, we formulate the scheduling problem for work-flow ap...

an ad-hoc network based intelligent system working on swarm intelligence principles for socializing system is being presented. The architecture relies on the distributed and decentralized nature and combines the swarm intelligence and crowdsourcing in mobiles. Mobile devices detect the current context, developing information structures about the person condition and inform the other people in t...

The swarm collective behaviors, such as birds flocking and fish schooling, are complex, dynamic and adaptive processes, in which the differences among individuals play an important role. As a new swarm intelligent technique, the standard particle swarm optimization only provides a simple uniform control, omitting the above mentioned phenomenon entirely. Thus, a new modified version: performance...

Clustering is the unsupervised learning in which the data is divided into similar groups (cluster) without any prior knowledge. The emerging swarm-based algorithms become an alternative to the conventional clustering methods to enhance the quality of results. Artificial Bee Colony (ABC) Algorithm is one of the Swarm Intelligent based optimization algorithm that exhibit foraging properties of a ...

Social emotional optimization algorithm (SEOA) is a new swarm intelligent technique by simulating human social behaviors. In SEOA, each individual represents a virtual person and pursues high society status by selecting the behaviors according to the corresponding emotional index in each iteration. Therefore, how to simulate the personal decision mechanism plays an important role for the algori...

Permeability is the ability of porous rock to transmit fluids and one of the most important properties of reservoir rock because oil production depends on the permeability of reservoirs. Permeability is determined using a variety of methods which are usually expensive and time consuming. Reservoir rock properties with image analysis and intelligent systems has been used to reduce time and money...

Previous studies showed that two swarms of autonomous robots pursuing two conflicting goals can cooperate efficiently, especially at small swarm sizes. In this study we investigate how the spatial separation of the two conflictive aggregation spots affect the cooperation behaviour. The swarms are controlled by the BEECLUST algorithm, which is a robot control algorithm inspired by honeybee behav...