Carlos Alberto Ochoa Ortíz Zezzatti

A cultural algorithm for the urban public transportation

In the last years the population of Leon City, located in the state of Guanajuato in Mexico, has been considerably increasing, causing the inhabitants to waste most of their time with public transportation As a consequence of the demographic growth and traffic bottleneck, users deal with the daily problem of optimizing their travel so that to get to their destination on time To give a solution to this problem of obtaining an optimized route between two points in a public transportation, a method based on the cultural algorithms technique is proposed Cultural algorithms are used in the generated knowledge in a set of time periods for a same population, using a belief space These types of algorithms are a recent creation The proposed method seeks a path that minimizes the time of traveling and the number of transfers The results of the experiment show that the technique of the cultural algorithms is applicable to these kinds of multi-objective problems.

Web Service-Security Specification based on Usability Criteria and Pattern Approach

A specification is provided in this paper to assist in the design of usable and secure web-services. In particular, this specification helps design an adequate security information feedback based on User Interface Patterns, the resulting visual feedback is then evaluated against a set of design/evaluation criteria called Human-Computer Interaction for Security (HCI-S). In addition we propose in a theoretical manner including the knowledge offered by the proposed specification based on patterns in a new level for the architectural structure of WS-Security specification, which is currently one of the most popular specifications to establish secure web services.

Logistics Management and Optimization through Hybrid Artificial Intelligence Systems

Hybrid Artificial Intelligent Systems (HAIS) try to deal with the complexity of real world phenomena using a multidisciplinary approach and a plurality of techniques. Logistics Management and Optimization through Hybrid Artificial Intelligence Systems offers the latest research within the field of HAIS, surveying the broad topics and collecting case studies, future directions, and cutting edge analyses. Using biologically-inspired algorithms such as ant colony optimization and particle swarm optimization, this text includes solutions and heuristics for practitioners and academics alike, offering a vital resource for staying abreast in this ever-burgeoning field.

Performance Analysis of the Neighboring-Ant Search Algorithm through Design of Experiment

In many science fields such as physics, chemistry and engineering, the theory and experimentation complement and challenge each other. Algorithms are the most common form of problem solving in many science fields. All algorithms include parameters that need to be tuned with the objective of optimizing its processes. The NAS (Neighboring-Ant Search) algorithm was developed to route queries through the Internet. NAS is based on the ACS (Ant Colony System) metaheuristic and SemAnt algorithm, hybridized with local strategies such as: learning, characterization, and exploration. This work applies techniques of Design of Experiments for the analysis of NAS algorithm. The objective is to find out significant parameters for the algorithm performance and relations among them. Our results show that the probability distribution of the network topology has a huge significance in the performance of the NAS algorithm. Besides, the probability distributions of queries invocation and repositories localization have a combined influence in the performance.

Extending Pattern Specification for Design the Collaborative Learning at Analysis Level

The collaborative learning offers for students a rich collaborative learning space before, during and after the sessions given for a teacher. In order to design and develop properly technological support for the collaborative learning with the learning objects, the designers require speciation tools to take into account the different stakeholders notably students and teachers since the early phases. The analysis level is one of the engineering software phases, where the current work purpose at this phase the use of pattern paradigm as an specification tool in order to specify the best practices of collaborative learning and also as a common language between instructional and technological designers.