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This paper focuses on the problem of seabed survey mission with multiple target points distributed in large scale area. To complete the survey with AUVs in minimum cost, a two-step procedure using greed strategy is presented. In the first step, the locations of so-called anchor points are found by executing k-means algorithm iteratively. In the second step, an ant-cycle system is used to find out...
We describe an approach with considerations for the limitations of operating underwater, including low bandwidth communications, for performing UUV collaborative missions. We implement a decentralized model predictive control (DMPC) algorithm to control teams of unmanned underwater vehicles (UUVs) that simultaneously optimizes vehicle control inputs to explicitly account for the limitations of operating...
Microgrids can offer various benefits to electricity consumers, but these benefits must be compared with the corresponding investment cost for ensuring financial feasibility. This paper is focused on the problem of optimally sizing, from an economic perspective, the Distributed Energy Resources included in a DC Microgrid, determining the optimal mix of Distributed Generators and Energy Storage Systems,...
We describe and evaluate the development of mission planners in intralogistics for a commercial unmanned aerial vehicle equipped with a robotic gripper in an industrial environment, which consists of an input warehouse, production lines, and a product depot. In this particular study, the planner produces the needed commands for carrying out a given mission, which includes the delivery of inputs picked...
The growing apprehension regarding greenhouse gas emission accompanied by fossil fuel depletion has instigated the electrification of transportation sector. As a consequence of this Electric Vehicle (EV) has emerged as an environment friendly solution for the automobile industry. For large scale deployment of EVs development of proper charging infrastructure is indispensable. Charging stations (CS)...
Optimizing the Aircraft Maintenance Planning (AMP) of aircraft fleet is crucial in order to ensure the operational readiness is high at all time. Staggering the aircraft into maintenance so that minimum aircraft will be grounded, and at the same time a maximum number of aircraft can be deployed is the optimal target. At No 11 Squadron of Royal Malaysia Air Force (RMAF) practice, the AMP was done manually...
This paper addresses the classical, yet challenging, trajectory generation problem for a particular USV (Unmanned Surface Vehicle) used in environmental monitoring applications. The focus is placed on scenarios which involve reaching a target while remaining in communication with the network. Both isotropic (concentric communication area) and anisotropic (directed communication area) antenna are considered...
It is necessary to implement intelligent manufacturing for urban rail vehicle manufacturing enterprises in order to improve efficiency and reduce costs, so as to improve market competitiveness. As an important part of intelligent manufacturing, intelligent material distribution system must be studied. Firstly, this paper analyzes the problems existing in material distribution for urban rail vehicle...
We propose an active 3D mapping method for depth sensors, which allow individual control of depth-measuring rays, such as the newly emerging solid-state lidars. The method simultaneously (i) learns to reconstruct a dense 3D occupancy map from sparse depth measurements, and (ii) optimizes the reactive control of depth-measuring rays. To make the first step towards the online control optimization, we...
A development planning approach combining game theory and network model is proposed to address the strategy selection and evolution for weapons system-of-systems (WSoS) characterized by an iterative and competitive development process between countries. More specifically, the development planning framework, including game player, strategy definition, and constraints (e.g., time and money), is first...
With the accelerated urbanization process in China, more and more attention has been paid to residential environment quality. How to improve atmospheric quality, accelerate pollutant emission and reduce resource consumption by rationalizing layout is one of the most important issues in developing a healthy community. Based on the method of fluent flow field simulation, this paper chooses and analyzes...
This article covers the comparison of a primitive Dissipating-Predictive-State Planning Actor-Critic learning approach with SARSA(λ) (State-Action-Reward-State-Action) on the highly non-stationary competitive Cat and Mouse problem. The primary objective of the new algorithm was to minimize the number of constants that must be optimized before application while maintaining the performance found in...
Efficient representation of data aggregations is a fundamental problem in modern big data applications. We present a formalization of compute-aggregate planning parameterized by the aggregation function.
In Online-to-Offline (O2O) commerce, customer services may need to be composed from online and offline services. Such composition is challenging, as it requires effective selection of appropriate services that, in turn, support optimal combination of both online and offline services. In this paper, we address this challenge by proposing an approach to O2O service composition which combines offline...
This work presents a potential field-based control approach for multi-agent dynamical systems in a multi-obstacle environment. A strong focus is put on solving the collision avoidance (either with obstacles or other agents) problem, which is essential for any multi-agent control strategy. In here we discuss potential field constructions which are used for penalizing in the cost the collision avoidance...
The effective solution of operation problems, adjustment and dispatching management of thermal networks can be obtained applying modern mathematical modeling methods, calculation and optimization. However, lack of reliable information about their actual parameters and characteristics substantially depreciates virtually all sets of these methods. The majority of thermal networks parameters and characteristics...
The workforce planning helps organizations to optimize the production process with aim to minimize the assigning costs. A workforce planning problem is very complex and needs special algorithms to be solved. The problem is to select set of employers from a set of available workers and to assign this staff to the jobs to be performed. Each job requires a time to be completed. For efficiency, a worker...
The berth allocation problem (BAP) in marine container terminals is defined as the feasible berth allocation to the incoming vessels. In this work, we develop a model of fully fuzzy linear programming (FFLP) for the continuous and dynamic BAP. The vessel arrival times are assumed to be imprecise, meaning that the vessel can be late or early up to a threshold permitted. Triangular fuzzy numbers represent...
Increased number of container shipping nowadays, brings new challenges for container terminal to improve their operational performance. In addition with the increase of competition between ports, optimal and integrated planning will help terminal to face those challenges. This research studies about optimizing an integrated planning of the container terminal in Indonesia, using a bi-objective optimization...
Functionality of software products often does not match user needs and expectations. The closed set-up of systems and information is replaced by wide access to data of users and competitor products. This shift offers completely new opportunities to approach requirements elicitation and subsequent planning of software functionality. This is, in particular true for app store markets. App stores are...
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