Category: Evolutionary Computation

Benchmark functions vs parameter estimation: new paper accepted on Applied Soft Computing

For some real world problems, common algorithms can outperform the most advanced meta-heuristics.

GenHap, a novel evolutionary approach for haplotyping, published on BMC Bioinformatics

GenHap is a novel evolutionary method to solve the haplotyping problem. basically subdivides the data into multiple independent combinatorial subproblems, each solved using a separate genetic algorithm. Then a recombination step fuses the solutions of subproblems into a final complete haplotype. GenHap also natively distributes the calculations over multiple cores by means of MPI, reducing …

New publication: COST action ‘cHiPSet’ book chapter

A book chapter about the Case Study “Towards Human Cell Simulation” lead by me was published today.

Two papers accepted in conferences

Today, two papers were accepted for two IEEE conferences.

New paper published on Bioinformatics

A couple of years ago, we started a collaboration with the IEO (Istituto Europeo di Oncologia). Prof. Pelicci and his staff investigate Acute Myeloid Leukemia (AML), one of the most common hematological malignancies, characterized by high relapse and mortality rates. The guys at IEO are wonderful, brilliant, I learned a lot in these months and …

New publications added

Two new publications were added to the website

New PhD course about Global Optimization metaheuristics

A new PhD course about GO metaheuristics — organized by Dr. Luca Manzoni, Dr. Luca Mariot, and me — was given green light by our Department. Confirmed special guest for a seminar: Prof. Leonardo Vanneschi from the Universidade NOVA de Lisboa. The course, that will be probably 20 hours long, will focus on the main …