AI Approaches for Next Generation Telecommunication
... fashion without the support of any infrastructure. MANETs are a paradigmatic example of the dynamic new generation networks. The algorithm we proposed, AntHocNet,8 is an ACO inspired routing algorithm. However, it contains several elements not present in other ACO routing algorithms such as the earl ...
... fashion without the support of any infrastructure. MANETs are a paradigmatic example of the dynamic new generation networks. The algorithm we proposed, AntHocNet,8 is an ACO inspired routing algorithm. However, it contains several elements not present in other ACO routing algorithms such as the earl ...
M211 (ITC450 earlier)
... as possible, using as few resources as possible. To solve a problem efficiently it may be necessary to use data structures tailored for the particular problem(s) at hand. A data structure is a specific way of organizing data that supports efficient performance of the relevant operations on that data ...
... as possible, using as few resources as possible. To solve a problem efficiently it may be necessary to use data structures tailored for the particular problem(s) at hand. A data structure is a specific way of organizing data that supports efficient performance of the relevant operations on that data ...
The calculus of self-modifiable algorithms: planning, scheduling and
... The Calculus of Self-Modifiable Algorithms (CSA), as described in [3-6], was designed to be a universal theory for intelligent and parallel systems, integrating various styles of programming and applied in different domains of future generation computers. The use of artificial intelligence in future ...
... The Calculus of Self-Modifiable Algorithms (CSA), as described in [3-6], was designed to be a universal theory for intelligent and parallel systems, integrating various styles of programming and applied in different domains of future generation computers. The use of artificial intelligence in future ...
The following is reprinted from European Journal of Operational
... A.V. Naik, A. Baveja, R. Batta, and P. Caulkins, “Scheduling crackdowns on illicit drug markets,” pp. 231-250, ©1996, with permission from Elsevier. Abstract: This paper presents an analytical approach for scheduling crackdowns on street-corner drug markets. The crackdown scheduling problem is shown ...
... A.V. Naik, A. Baveja, R. Batta, and P. Caulkins, “Scheduling crackdowns on illicit drug markets,” pp. 231-250, ©1996, with permission from Elsevier. Abstract: This paper presents an analytical approach for scheduling crackdowns on street-corner drug markets. The crackdown scheduling problem is shown ...
Dance Choreography Design of Humanoid Robots using Interactive
... The EC is a population-based searching algorithm and outputs multiple candidates, each called an individual, as system outputs. Genetic algorithm is a probabilistic search algorithm based on the mechanics of natural selection and natural genetics. The space of all feasible solutions (it means object ...
... The EC is a population-based searching algorithm and outputs multiple candidates, each called an individual, as system outputs. Genetic algorithm is a probabilistic search algorithm based on the mechanics of natural selection and natural genetics. The space of all feasible solutions (it means object ...
Genetic algorithm
In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.