Accurate and reliable protein structure prediction (PSP) eludes researchers primarily becausethe searchfor theminimumenergyconformeris computationallyintractable. This research di...
Charles E. Kaiser, Laurence D. Merkle, Gary B. Lam...
In the paper, a new hybrid genetic algorithm solving the DNA sequencing problem with negative and positive errors is presented. The algorithm has as its input a set of oligonucleo...
Jacek Blazewicz, Marta Kasprzak, Wojciech Kuroczyc...
This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beg...
In this work we provide empirical evidence that shows how a variable-length genetic algorithm (GA) can naturally evolve shorter average size populations. This reduction in chromos...
GA-based clustering algorithms often employ either simple GA, steady state GA or their variants and fail to consistently and efficiently identify high quality solutions (best known...