GENETIC ALGORITHM FOR LECTURING SCHEDULE OPTIMIZAT

se20597@uniten.edu.my,johnnykoh@uniten.edu.my,siehkiong@uniten.edu.my,chongkh@uniten.edu.my
Abstract: The current trend in solar concentrator tracking system is to use an open-loop local controller that computes the direction of the solar vector based on geographical location and time. But it is[r]

Active schedules and a new genetic algorithm for solving job shop scheduling problein are presented in this paper. In the proposed method, a chromosome representation [r]

If we look at the speculative attack as at the optimisation problem, why not to use genetic algorithm to present the agent behaviour in the market? Genetic algorithm allows to avoid problems connected with incorporating information and expectations into age[r]

In general, MDO has become an increasingly interesting research area in aerospace science. The development of computational design methods reduces the overall design costs and turn-around time for the development of aerospace technology. The use of high-fidelity tools also brings more confi-[r]

The adapting approaches for setting parameters could be divided into offline and online procedures. The offline methods find appropriate parameter values before their deployments, while online methods optimize those on the way. Stutzle et al. [7] reviewed[r]

1.The total energy consumption KWh for earliest start time first with best-fit decrease BFD, GAPA algorithms 5 CONCLUSIONS AND FUTURE WORKS In a conclusion, a genetic algorithm can apply t[r]

In genetic algorithm, each configuration is called chromosome. The number of bit in the chromosome is equal to the total number of sectionalized and tie-switches. A set of chrosomones is called population. To apply the genetic algorithm to find a minu[r]

7. Concluding remarks
In this paper we propose a new genetic algorithm for the p -median problem. The al- gorithm evolves solutions by taking the union of two solutions and dropping facilities one-at-a-time to generate a feasible solution. It is simple to code, and it generate[r]

The hybrid method based on genetic _ _algorithm and ant colony system GACS _ In traffic routing problem, heuristic information of transportation environment is highly significant to help[r]

In our paper an assumption about rational agent behaviour in the efficient market is criticised and we present our version of the dynamic model of a speculative[r]

TRANG 1 OPTIMAL DESIGN FOR HIGH ABSORPTION OF MICROWAVE IN X-KU BANDS WITH DOUBLE-LAYER STRUCTURE USING GENETIC ALGORITHM NGUYEN TRAN HA, TRAN QUANG DAT, DANG HAI NINH, NGUYEN VU TUNG, P[r]

This study introduces a v-domain design scheme for optimal FOPID controllers; the purposed method is based on minimum angle system pole placement in v-plane. Multi-objective genetic algorithm is used for controller coefficient optimization. Disturbance rejection FOPID controller design examples are[r]

TỔNG QUAN THUẬT TOÁN DI TRUYỀN GENETIC ALGORITHM _1.1 KHÁI NIỆM_ _Thuật toán di truyền cổ điền là các kỹ thuật phỏng theo quá trình thích nghi _ _tiến hóa của các quần thể sinh học dựa t[r]

This article will show how to use a Microbial Genetic Algorithm to train a multi-layer neural network to solve the XOR logic problem.
A Brief Recap (From Parts 1 and 2)
Before we commence with the nitty griity of this new article which deals with multi-layer neural networks, let's[r]

TỔNG QUAN THUẬT TOÁN DI TRUYỀN GENETIC ALGORITHM _1.1 KHÁI NIỆM_ _Thuật toán di truyền cổ điền là các kỹ thuật phỏng theo quá trình thích nghi _ _tiến hóa của các quần thể sinh học dựa t[r]

A trend in genetic job-shop scheduling practice is to incorporate local search techniques into the main loop of a genetic algorithm to convert each offspring into an active schedule. In general, feasible permu- tation of operations corresponds to the set of semiactive sch[r]

From the published works, it can be found that the iden- tifiers, which use the statistical features, are able to include the digital signal types such as QAM and higher orders of dig- ital signals. Also, the techniques that use SVMs as the classi- fier have high performances at low-level SNRs. In t[r]

TỔNG QUAN THUẬT TOÁN DI TRUYỀN GENETIC ALGORITHM _1.1 KHÁI NIỆM_ _Thuật toán di truyền cổ điền là các kỹ thuật phỏng theo quá trình thích nghi_ _tiến hóa của các quần thể sinh học dựa tr[r]

The standard genetic algorithm (GA), with its strong selec- tion policy and low rate of mutation, quickly eliminates di- versity from the population as it proceeds. In typical function optimization applications, where the “environment” remains static, we are not usually concerned with[r]

The experimental results show that the ant colony optimization algorithms are efficient in terms of the solution quality, while the genetic algorithm is efficient [r]