The main aim of the present paper is to propose efficient multi-objective optimization algorithms (MOOAs) to tackle truss structure optimization problems. The proposed meta-heuristic algorithms are based on the firefly algorithm (FA) and bat algorithm (BA), which have been recently developed for single-objective optimization. In order to produce a well distributed Pareto front, some improvement...

This survey gives an overview over different techniques used for pixel-level semantic segmentation. Metrics and datasets for the evaluation of segmentation algorithms and traditional approaches for segmentation such as unsupervised methods, Decision Forests and SVMs are described and pointers to the relevant papers are given. Recently published approaches with convolutional neural networks are ...

This project presents an implementation of the freespace segmentation approach proposed in [1]. This segmentation approach uses an occupancy grid representation which only requires a stereo disparity image and associated camera model for freespace computation, making it more computationally efficient than some state-of-the-art approaches using CNNs. Different segmentation algorithms were evalua...

the aim of this paper is to study a multi-product, multi-period production systems in a hybrid flow shop so that lot-sizing and scheduling will be detemined simultaneously. a new mixed-integer programming model is proposed to formulate the studied problem. the objective function in this investigation includes the total cost of production, inventory and external supply. in the case of not satisf...

In this paper, we present a real-time system that allows the detection of the moves of a chess game. In the proposed approach, each captured video frame, from a RGB webcam positioned over the chessboard, is processed through the following steps; the detection of the corner points of the chessboard grids, geometric rectification, chessboard position adjustment, automatic camera exposure adjustme...

Vision systems employing region segmentation by color are crucial in real-time mobile robot applications, such as RoboCup[1], or other domains where interaction with humans or a dynamic world is required. Traditionally, systems employing real-time color-based segmentation are either implemented in hardware, or as very specific software systems that take advantage of domain knowledge to attain t...