A multi-objective local search heuristic for scheduling Earth observations taken by an agile satellite
نویسندگان
چکیده
منابع مشابه
A multi-objective local search heuristic for scheduling Earth observations taken by an agile satellite
This paper presents an indicator-based multi-objective local search (IBMOLS) to solve a multi-objective optimization problem. The problem concerns the selection and scheduling of observations for an agile Earth observing satellite. The mission of an Earth observing satellite is to obtain photographs of the Earth surface to satisfy user requirements. Requests from several users have to be manage...
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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 users by minimizing the maximum profi...
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In this paper, we consider a scheduling problem for a set of agile Earth observation satellites for scanning different parts of the Earth’s surface. We assume that preemption is allowed to prevent repetitive images and develop four different preemption policies. Scheduling is done for the imaging time window and transmission time domain to the Earth stations as well. The value of each picture ...
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We have already proposed a multi-objective genetic local search algorithm for finding nondominated solutions of multi-objective optimization problems (Ishibuchi & Murata 1998). In our hybrid algorithm, a local search procedure is applied to each solution generated by genetic operations (i.e., selection, crossover, and mutation). Since our optimization problem involves multiple objectives, the a...
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ژورنال
عنوان ژورنال: European Journal of Operational Research
سال: 2015
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2015.03.011