To further improve the performance of artificial bee colony algorithm (ABC), a new hybrid ABC (HABC) for global optimization is proposed via exploring six initialization methods. Furthermore, to balance the exploration and exploitation abilities, a new search mechanism is also developed. The algorithms are applied to 27 benchmark functions with various dimensions to verify its performance. Nume...

We propose a method for global validation of gene clusterings. The method selects a set of informative and non-redundant GO terms through an exploration of the Gene Ontology structure guided by mutual information. Our approach yields a global assessment of the clustering quality, and a higher level interpretation for the clusters, as it relates GO terms with specific clusters. We show that in t...

This paper is dedicated to virtual world exploration techniques, which have to help a human being to understand a 3D scene. A new method to compute a global view of a scene is presented in the paper. The global view of a scene is determined by a “good” set off points of view. This method is based on a genetic algorithm. The “good” set of points of view is used to compute a camera path around th...

Global Aerospace Corporation (GAC) is developing a revolutionary system architecture for exploration of planetary atmospheres and surfaces from atmospheric altitudes. The work is supported by the NASA Institute for Advanced Concepts (NIAC). The innovative system architecture relies upon the use of Directed Aerial Robot Explorers (DAREs), which essentially are long-duration-flight autonomous bal...

This paper presents a model allowing to tune continual exploration in an optimal way by integrating exploration and exploitation in a common framework. It first quantifies exploration by defining the degree of exploration of a state as the entropy of the probability distribution for choosing an admissible action. Then, the exploration/exploitation tradeoff is formulated as a global optimization...

This paper presents an hybrid algorithm based on genetic algorithm and ant colony optimization for continuous optimization, which combines the global exploration ability of the former with the local exploiting ability of the later. The proposed algorithm is evaluated on several benchmark functions. The simulation results show that the proposed algorithm performs quite well and outperforms class...

This paper presents an approach for register allocation and scheduling which relies on three main ideas: global optimization, solution space exploration and on-the-fly generation of a symbolic state machine. To allow global optimizations while preserving semantics, the traditional notion of control dependence is replaced by the notion of predicate. In our approach, predicates are used not only ...

Terrain Explorer (TerraEx) is the first world-wide content-based search application for landscapes. Using 3" resolution world-wide DEM as an input it finds and displays, in the form of a similarity map, locations in the world where landscapes are similar to a user-selected query. TerraEx is a freely available, full service GeoWeb application. It also doubles as the most convenient distributor o...

This paper presents a new multilevel optimization algorithm for layout-aware synthesis of analog systems. The synthesis methodology integrates (1) block parameter search, (2) block placement, and (3) global interconnect routing while maintaining an accurate perspective about layout parasitic. Multilevel optimization conducts a sequence of exploration steps, in which each step uses performance m...