ICTAI
2005
IEEE
14 years 5 months ago
2005
IEEE
This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
ICTAI
2005
IEEE
14 years 5 months ago
2005
IEEE
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
ICTAI
2005
IEEE
14 years 5 months ago
2005
IEEE
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
ICTAI
2005
IEEE
14 years 5 months ago
2005
IEEE
Designing cooperative multi-robot systems (MRS) requires expert knowledge both in control and artificial intelligence. Formation control is an important research within the resea...
ICTAI
2005
IEEE
14 years 5 months ago
2005
IEEE
In this paper, we study strategies in incremental planning for ordering and grouping subproblems partitioned by the subgoals of a planning problem when each subproblem is solved b...
ICTAI
2005
IEEE
14 years 5 months ago
2005
IEEE
In this paper, a combinatorial auction problem is modeled as a NP-complete set packing problem and a Lagrangian relaxation based heuristic algorithm is proposed. Extensive experim...
ICTAI
2005
IEEE
14 years 5 months ago
2005
IEEE
Stochastic Shortest Path problems (SSPs) can be efficiently dealt with by the Real-Time Dynamic Programming algorithm (RTDP). Yet, RTDP requires that a goal state is always reach...
ICTAI
2005
IEEE
14 years 5 months ago
2005
IEEE
Following the framework proposed by Besnard and Hunter for argumentation, this paper aims to propose a logical tool for the generation of new arguments when two formal agents have...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...