Prospero C. Naval

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In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of crowding distance computation into the algorithm of PSO, specifically on global best selection and in the deletion method of an external archive of nondominated solutions. The(More)
Stock traders consider several factors in making decisions. They also differ in the importance they attach to each of these objectives. This requires a tool that can provide an optimal tradeoff among different objectives, a problem aptly solved by a multiobjective optimization (MOO) system. However, the application of MOO to stock trading is very limited(More)
MOTIVATION High-throughput technologies now allow the acquisition of biological data, such as comprehensive biochemical time-courses at unprecedented rates. These temporal profiles carry topological and kinetic information regarding the biochemical network from which they were drawn. Retrieving this information will require systematic application of both(More)
DOVE is an automated system which detects violence in motion pictures. Violence in this paper is defined as movie sequences involving actions producing blood such as extreme punching, kicking, stabbing, and similar actions. Frames are analyzed from the MPEG stream from a VideoCD file. The color histograms of each pair of frames are used to compute the(More)
Stock traders consider several factors or objectives in making decisions. Moreover, they differ in the importance they attach to each of these objectives. This requires a tool that can provide an optimal tradeoff among different objectives, a problem aptly solved by a multi-objective optimization (MOO) system. This paper aims to investigate the application(More)
This paper suggests an approach to neural network training through the simultaneous optimization of architectures and weights with a Particle Swarm Optimization (PSO)-based multiobjective algorithm. Most evolutionary computation-based training methods formulate the problem in a single objective manner by taking a weighted sum of the objectives from which a(More)
We describe a clinical decision support system (CDSS) designed to provide timely information germane to poisoning. The CDSS aids medical decision making through recommendations to clinicians for immediate evaluation. The system is implemented as a rule-based expert system with two major components: the knowledge base and the inference engine. The knowledge(More)
A swarm intelligence system is a type of multiagent system with the following distinctive characteristics: (i) it is composed of a large number of agents, (ii) the agents that comprise the system are simple with respect to the complexity of the task the system is required to perform, (iii) its control relies on principles of decentralization and(More)
The Ant Colony Optimization algorithm was originally conceptualized as an algorithm for solving combinatorial optimization problems. In recent years, it has shown that the ACO metaheuristic can be extended such that it can handle both continuous and mixed variable optimization problems. In this paper we present an constraint-capable extension of Socha and(More)