Titlebook: Optimization, Learning Algorithms and Applications; First International Ana I. Pereira,Florbela P. Fernandes,Rui P. Lopes Conference proce

嬰兒

Optimal Sizing of?a?Hybrid Energy System Based on?Renewable Energy Using Evolutionary Optimization Aenergy sources. This study proposes a strategy for the optimal sizing of an autonomous hybrid energy system integrating a photovoltaic park, a wind energy conversion, a diesel group, and a storage system. The problem is formulated as a uni-objective function subjected to economical and technical con

鋼盔

Human Detector Smart Sensor for Autonomous Disinfection Mobile Robotes but also to protect those who have to subject themselves to the contaminated areas. In this paper it is developed a human detector smart sensor for autonomous disinfection mobile robot that use Ultra Violet C type light for the disinfection task and stops the disinfection system when a human is d

Parameter

Multiple Mobile Robots Scheduling Based on Simulated Annealing AlgorithmAdvances in the field of combinatorial optimisation have allowed the implementation of algorithms capable of solving the different variants of the vehicle routing problem in relation to different objectives. However few of this approaches are capable of taking into account the nuances associated wit

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aphasia

Dual Coulomb Counting Extended Kalman Filter for?Battery SOC Determinationanagement in batteries is becoming an increasingly crucial aspect of optimizing the overall system and must be done properly. Very few works have been found in the literature proposing the implementation of algorithms such as Extended Kalman Filter (EKF) to predict the State of Charge (SOC) in small

Vulnerable

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/o/image/703316.jpg

delusion

BALK

A Look-Ahead Based Meta-heuristics for?Optimizing Continuous Optimization ProblemsIn this paper, the famous kernighan-Lin algorithm is adjusted and embedded into the simulated annealing algorithm and the genetic algorithm for continuous optimization problems. The performance of the different algorithms are evaluated using a set of well known optimization test functions.

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