This paper is devoted to the synthesis of combinational logic circuits through computational intelligence or, more precisely, using evolutionary computation techniques. Are studied two evolutionary algorithms, the Genetic and the Memetic Algorithm (GAs, MAs) and one swarm intelligence algorithm, the Particle Swarm Optimization (PSO). GAs are optimization and search techniques based on the princ...

Presented are issues in designing smart, believable software agents capable of playing strategy games, with particular emphasis on the design of an agent capable of playing Cyberwar XXI, a complex war game. The architecture of a personality-rich, advise-taking game playing agent that learns to play is described. The suite of computational-intelligence tools used by the advisers include evolutio...

This work gives an overview of the broad field of computational swarm intelligence and its applications in swarm robotics. Computational swarm intelligence is modelled on the social behavior of animals and its principle application is as an optimization technique. Swarm robotics is a relatively new and rapidly developing field which draws inspiration from swarm intelligence. It is an interestin...

This paper focuses on the design of a 32 DOF andro humanoid robot using cascaded computational intelligence. The robot consists of hip, neck, Lip, shoulder, elbow, and wrist and finger joints. The robot secures itself from hacking and power problems. The intelligence of the robot is a combination of human intelligence, computational intelligence and sensor fusion unit data.

Computational intelligence approaches have gradually established themselves as a popular tool for forecasting the complicated financial markets. Forecasting accuracy is one of the most important features of forecasting models; hence, never has research directed at improving upon the effectiveness of time series models stopped. Nowadays, despite the numerous time series forecasting models propos...

Fuzzy clustering comprises a family of prototype-based clustering meth-ods that can be formulated as the problem of minimizing an objective function.These methods can be seen as “fuzzifications” of, for example, the classical c-meansalgorithm, which strives to minimize the sum of the (squared) distances between thedata points and the cluster centers to which they are assigned. H...

In this paper, we propose a method of finding simple disjoint decompositions in frequent itemset data. The techniques for decomposing Boolean functions have been studied for long time in the area of logic circuit design, and recently, there is a very efficient algorithm to find all possible simple disjoint decompositions for a given Boolean functions based on BDDs (Binary Decision Diagrams). We...

Symmetry has been a very useful tool to researchers in various scientific fields. At its most basic, symmetry refers to the invariance of an object to some transformation, or set of transformations. Usually one searches for, and uses information concerning an existing symmetry within given data, structure or concept to somehow improve algorithm performance or compress the search space. This the...

This paper discusses the effectiveness and the worth of designing and applying hybrid intelligent methodologies, to various medical domains of application. The increased popularity of hybrid intelligent systems recently, is due to the extensive success of these systems in a wide range of real-world complex problems. The main reason for this success seems to be the synergy derived by the computa...