IMAGINE A LEGO SET AT YOUR DISPOSAL: Bricks, rods, wheels, motors, sensors and logic are your “atomic” building blocks, and you must find a way to put them together to achieve a given high-level functionality: A machine that can move itself, say. You know the physics of the individual components' behaviors; you know the repertoire of pieces available, and you know how they are allowed to connec...

An evolutionary algorithm that utilizes a-priori problem specific information and allows intuitive representation of the problem design variables is proposed. A technique for conditioning the components of the fitness statement using ranking and a graphical method for monitoring components of the rank based fitness function are presented. By utilizing generationally dependant non-linear rank ba...

In this paper, we present the use of two evolutionary algorithms to estimate fundamental matrices. We first propose a modification of the Hybrid Taguchi Genetic Algorithm (HTGA) that employs a single objective function, either geometric or algebraic distance, for optimization. We then propose to use a multi-objective optimization algorithm, Intelligent Multi-Objective Evolutionary Algorithm (IM...

in order to survey the evolutionary history and impact of historical events on the genetic structure of iranian people, the hv2 region of 141 mtdna sequences related to six iranian populations were analyzed. slight and non-significant fst distances among the central-western persian speaking populations of iran testify to the common origin of these populations from one proto-population. mismatch...

The paper discusses a systematic integration of evolutionary and exploratory prototyping of interactive systems by a lightweight use of formal methods. Formal models guide the development of the underdesigned evolutionary prototype. In combination with techniques from Design Rationale, they implement the exploration and assessment of possible solutions to open design questions. Models and corre...

in this study, a multi-objective genetic algorithm (moga) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear multi-input multi-output (mimo) systems. in the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. furthermore, se- curing low-level and high-level ...

nowadays, robots account for most part of our lives in such a way that it is impossible for usto do many of affairs without them. increasingly, the application of robots is developing fastand their functions become more sensitive and complex. one of the important requirements ofrobot use is a reliable software operation. for enhancement of reliability, it is a necessity todesign the fault toler...

Many real world problems can be modelled as an optimization problem. Evolutionary algorithms are used to solve these problems. Ant colony algorithm is a class of evolutionary algorithms that have been inspired of some specific ants looking for food in the nature. These ants leave trail pheromone on the ground to mark good ways that can be followed by other members of the group. Ant colony optim...