The L-CAPS system is a functional interface for learning group behavior using Cultural Algorithms in the land bridge simulation example. It enables the Cultural Algorithms process to implicitly communicate with, modify and evaluate, autonomous game agents restricted to an external virtual world. The L-CAPS system is described and used to learn the group behavior of caribou herds in the virtual ...

Reinforcement Learning algorithms such as SARSA with an eligibility trace, and Evolutionary Computation methods such as genetic algorithms, are competing approaches to solving Partially Observable Markov Decision Processes (POMDPs) which occur in many fields of Artificial Intelligence. A powerful form of evolutionary algorithm that has not previously been applied to POMDPs is the cultural algor...

In this paper, a parallel cultural algorithm for designing functional network structure method is proposed. This method can get the basis function and its parameters with random optimal searching strategy obtained the learning between functional network structure and the functional parameters. Finally, the simulation experiment results show that the proposed constructive functional network opti...

The dismantling network problem only asks the minimal vertex set of a graph after removing which the remaining graph will break into connected components of sub-extensive size, but we should also consider the efficiency of intermediate states during the entire dismantling process, which is measured by the general performance R in this paper. In order to improve the general performance of the be...

Evolutionary algorithms have been widely used to solve large and complex optimisation problems. Cultural algorithms (CAs) are evolutionary algorithms that have been used to solve both single and, to a less extent, multiobjective optimisation problems. In order to solve these optimisation problems, CAs make use of different strategies such as normative knowledge, historical knowledge, circumstan...

due to the algorithmic simplicity, cellular automata (ca) models are useful and simple methods in structural optimization. in this paper, a cellular-automaton-based algorithm is presented for simultaneous shape and topology optimization of continuum structures, using five-step optimization procedure. two objective functions are considered and the optimization process is converted to the single ...

Abstract— The air traffic conflict resolution represents a real time problem. Thus, it must be interesting to apply methods which their computing time is negligible. In this study, we use cultural algorithms to solve an artificial conflict involving five aircrafts. These algorithms present the advantage to evolve 10 times faster than genetic algorithms. We assume that the trajectories of all ai...

In this paper, we present the first proposal to use a cultural algorithm to solve multiobjective optimization problems. Our proposal uses evolutionary programming, Pareto ranking and elitism (i.e., an external population). The approach proposed is validated using several examples taken from the specialized literature. Our results are compared with respect to the NSGA-II, which is an algorithm r...

In this pilot trial, 15 phobic Asian Americans were randomly assigned to standard one-session treatment (OSTS), culturally adapted one-session treatment (OST-CA), or manualized selfhelp. At posttreatment, OST (combined standard and culturally adapted) led to greater reductions in phobic avoidance and anxiety than self-help. Moreover, analyses comparing the two active treatments showed trends fa...

Integral asymmetric cellulose acetate (CA) membranes were casted by phase-inversion with formamide varying content - 22, 30 and 34% - as pore promoter. These membranes, CA-22, CA-30 and CA-34, were analyzed by infrared spectroscopy in attenuated total reflection mode (ATR-FTIR) to investigate the porous membrane matrix influence on the polymer/water/solute interactions and the selective ultrafi...