ICDCIT
2012
Springer
12 years 1 days ago
2012
Springer
Abstract. A key challenge in multi-robot teaming research is determining how to properly enable robots to make decisions on actions they should take to contribute to the overall sy...
ACIIDS
2012
IEEE
12 years 6 days ago
2012
IEEE
This paper proposes a new approach by combining the Evolutionary Algorithm and Imperialist Competitive Algorithm. This approach tries to capture several people involved in communit...
OL
2007
13 years 4 months ago
2007
We introduce a novel global optimization method called Continuous GRASP (C-GRASP) which extends Feo and Resende’s greedy randomized adaptive search procedure (GRASP) from the dom...
MP
2006
13 years 4 months ago
2006
Abstract. Interval analysis is a powerful tool which allows to design branch-and-bound algorithms able to solve many global optimization problems. In this paper we present new adap...
CEC
2010
IEEE
13 years 4 months ago
2010
IEEE
— Ant-colony optimization (ACO) is a popular swarm intelligence metaheuristic scheme that can be applied to almost any optimization problem. In this paper, we address a performan...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this paper, we present an empirical comparison of some Differential Evolution variants to solve global optimization problems. The aim is to identify which one of them is more s...
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
ENC
2003
IEEE
13 years 9 months ago
2003
IEEE
This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints in global optimization problems. A review of...
AE
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Numerical optimization of given objective functions is a crucial task in many real-life problems. The present article introduces an immunological algorithm for continuous...
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...