New Opportunity for Data Engineers/Scientists

Hello everyone!

An Amsterdam-based company called Ticketless (https://ticketless.ai/) is looking to setup a Data Science and AI team in Beirut! We're looking to hire 3-4 people in the coming months for the following positions:

AI Engineer:https://jobs.ticketless.ai/ai-engineer
Data Scientist: https://jobs.ticketless.ai/data-scientist

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If you want to learn data analytics, you can find the following course offered by Macquarie University via coursera.org

Business intelligence and data analytics: Generate insights

Linear programming

Linear programming is an optimization technique for a system of linear constraints and a linear objective function. An objective function defines the quantity to be optimized, and the goal of linear programming is to find the values of the variables that maximize or minimize the objective function.

Hyperheuristics in Logistics

Success in using exact methods for large scale combinatorial optimization is still limited to certain problems or to specific classes of instances of problems. The alternative way is either using metaheuristics or matheuristics.In the context of combinatorial optimization, we are interested in heuristics to choose heuristics invoked to solve the addressed problem. In this thesis, we focus on hyperheuristic optimization in logistic problems. We focus on proposing a hyperheuristic framework that carries out a search in the space of heuristic algorithms and learns how to change the incumbent heuristic in a systematic way along the process.We propose HHs for two optimization problems in logistics: the workover rig scheduling problem and the hub location routing problem. Then, we compare the performances of several HHs described in the literature for the latter problem, which embed different heuristic selection methods such as a random selection, a choice function, a Q-Learning approach, and an ant colony based algorithm. The computational results prove the efficiency of HHs for the two problems in hand, and the relevance of including Lagrangian relaxation information for the second problem.

 

Hyperheuristics in Logistics - kassem danach from Kassem Danach

Hyperheuristics in Logistics/ Thesis in Optimization

Dear Readers,
It is my pleasure to share with you my thesis titled "Hyperheuristics in Logistics"; Ecole Centrale De Lille; 2016.

Success in using exact methods for large scale combinatorial optimization is still limited to certain problems or to specific classes of instances of problems. The alternative way is either using metaheuristics or matheuristics.In the context of combinatorial optimization, we are interested in heuristics to choose heuristics invoked to solve the addressed problem. In this thesis, we focus on hyperheuristic optimization in logistic problems. We focus on proposing a hyperheuristic framework that carries out a search in the space of heuristic algorithms and learns how to change the incumbent heuristic in a systematic way along the process.We propose HHs for two optimization problems in logistics: the workover rig scheduling problem and the hub location routing problem. Then, we compare the performances of several HHs described in the literature for the latter problem, which embed different heuristic selection methods such as a random selection, a choice function, a Q-Learning approach, and an ant colony based algorithm. The computational results prove the efficiency of HHs for the two problems in hand, and the relevance of including Lagrangian relaxation information for the second problem.  

https://pdfs.semanticscholar.org/f1f8/7c05904403db2a52487a61abb0849da4f079.pdf

Welcome Message

Dear Optimizer and Data Analyzer,

Welcome to our blog.

If you search for books, chapters, articles, slides and jobs in data analytics and optimization, you came to the right place.

I am Kassem Danach an experienced Program Coordinator with a demonstrated history of working in the Education Management industry. Skilled in Educational Technology, Java, Management, Business analytics, data visualization, data engineering, digital marketing and Visual Studio. Strong program and project management professional with a Doctor of Philosophy (PhD) focused in Computer Engineering from Ecole Centrale de Lille.

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