CLUSTER
2008
IEEE
13 years 11 months ago
2008
IEEE
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
CISIS
2008
IEEE
13 years 11 months ago
2008
IEEE
Hardware/software partitioning is a crucial problem in embedded system design. In this paper, we provide an alternative approach to solve this problem using Particle Swarm Optimiz...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
—Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both conti...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— The Particle Swarm Optimization (PSO) algorithm is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarms. This paper p...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
— In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential evolution particle swar...
ASIAMS
2008
IEEE
2008
IEEE
Optimization of a Kraft Pulping System: Using Particle Swarm Optimization and Differential Evolution
13 years 11 months ago
Expectation of profit is the economic driving force motivating business activity in a free-enterprise economy. An increase in this profit for a given organization can be accomplis...
ICIC
2009
Springer
13 years 11 months ago
2009
Springer
Sequence Alignment is a basic information disposal method in Bioinformatics. However, it is difficult to deal with multiple sequence alignment problem(MSA). In this paper, an impro...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
Geometric Particle Swarm Optimization (GPSO) is a recently introduced formal generalization of traditional Particle Swarm Optimization (PSO) that applies naturally to both continu...