The paper reports an exploratory project to provide research experiences on swarm robotics to high school students. A group of three simple mobile robots (Lego NXT) was used to study ‘search and rescue’ operation. A bio-inspired global optimization technique called particle swarm optimization (PSO) was used as the main algorithm. Each robot was placed in pre-defined positions with a target posi...

Generative design offers new modes of aesthetic experience based on the incorporation of system dynamics into the production of artifact and experience. In this paper, we review a number of processes that can be explored by designers and suggest how design as a discipline can benefit from this research. These processes include self-organization, swarm systems and ant colonies, evolution, and ge...

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in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...

A design for a model-free learning adaptive control (MFLAC) based on pseudo-gradient concepts and optimization procedure by particle swarm optimization (PSO) is presented in this paper. PSO is a method for optimizing hard numerical functions on metaphor of social behavior of flocks of birds and schools of fish. A swarm consists of individuals, called particles, which change their positions over...

Swarm optimization, swarm intelligence and swarm robotics are the fields considering a group of relatively simple individuals able cooperate to perform complex tasks, in decentralized manner. The inspiration is found in the first line within animal societies, such as birds, ants and bees. Social insects exhibit successful behavior in performing complex tasks on the level of the group, and are a...

This paper investigates a discrete-time impatient customer queue with Bernoullischedule vacation interruption. The vacation times and the service times during regular busy period and during working vacation period are assumed to follow geometric distribution. We obtain the steady-state probabilities at arbitrary and outside observer’s observation epochs using recursive technique. Cost analysis ...

in this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classifypatterns of different classes in the feature space. the introduced mutation operators and chaotic sequences allows us to overcomethe problem of early convergence into a local minima associated with particle swarm optimization algorithms. that is, the mutationope...

the present developed paper deals with the development of expert systems using machine learning algorithm techniques to advice the farmers through online in villages. An expert system can be defined as a computer program, with a set of rules encapsulating knowledge about a particular problem domain. Machine Learning is a mechanism, used in the development of Expert systems, concerned with writi...