Learn More
This paper presents a biased random-key genetic algorithm for solving a multi-objective optimization problem concerning the management of agile Earth observing satellites. It addresses the selection and scheduling of a subset of photographs from a set of candidates in order to optimize two objectives: maximizing the total profit, and ensuring fairness among(More)
The optimal trajectory planning is an important function in a robot control area. Generally, the operating function of manipulators requires the highest performance such as minimum time, minimum energy, and no damage to the system. This paper proposes a minimum time trajectory planning that is clamped with cubic splines and uses Harmony Search (HS)(More)
The paper presents an agricultural monitoring system developed for Thailand. Various species of plants have been directly observed from the agricultural fields which mainly consist of economic crops of Thailand such as rice, cassava, rubber, sugar cane, corn, etc. An equipment used to obtain the data is called field server, which has been installed at the(More)
A biased random key genetic algorithm (BRKGA) is an efficient method for solving combinatorial optimization problems. It can be applied to solve both single-objective and multi-objective optimization problems. The BRKGA operates on a chromosome encoded as a key vector of real values between [0, 1]. Generally, the chromosome has to be decoded by using a(More)
In order to achieve the next level services of earth observation satellite data, the web-based tool for satellite mission planning is developed. The objectives are joint-usage spare resources of earth observation satellite amongst ASEAN, customer-self mission planning and multi-objective optimization for mission plan. The tools is developed in three(More)
The accurate rice phenological development stages estimation is important for rice yield estimation, since each phenological developmental stage possesses different increase rates of biomass and leaf area. This paper presents a method to estimate the rice phenological development stages: seedling, tillering, heading, and harvest. This method uses a(More)
  • 1