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Ciprian Zavoianu
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Paper: Performance Comparison of Generational and Steady-State Asynchronous Multi-Objective Evolutionary Algorithms for Computationally-Intensive Problems
This journal article  also stems from  my PhD research   project  -  enhancing currently available   Evolutionary Computation methods  employed for solving  computationally-intensive   multi-objective   optimization problems .  Here is the abstract of the a...

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My PhD Thesis
I've finally got around to uploading a close-to-final draft of my PhD thesis (defended in early 2015). As the title suggests, the work is focused on describing several enhancements that can help multi-objective evolutionary algorithms (MOEAs) solve computat...

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Paper: Efficient Multi-Objective Optimization Using 2-Population Cooperative Coevolution - EUROCAST 2013
This paper was prepared for the  EUROCAST 2013  conference  and contains a proof-of-concept for DECMO - a simple coevolutionary multi-objective optimization algorithm that, on several problems is successfully able to adopt the search behavior of the most su...

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Paper: DECMO2 - A Robust Hybrid and Adaptive Multi-Objective Evolutionary Algorithm
This journal article  also stems from  my PhD research   project  -  enhancing currently available   Evolutionary Computation methods  employed for solving computationally-intensive   multi-objective   optimization problems . The presented algorithm - DECMO...

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Paper: An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-Objective Evolutionary Algorithms - SYNASC 2013
This paper was prepared for the  SYNASC 2013  conference  and it is related to  my current research   project  that has the general aim of  enhancing currently available   Evolutionary Computation methods  employed for the  multi-objective   optimization of...

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