PepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient ...

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

Submodular function optimisation has emerged as a cornerstone of contemporary algorithm design, offering a powerful framework to address a broad range of combinatorial problems characterised by ...

The mathematical form of many optimization problems in engineering is constrained optimization problems. In this paper, an improved genetic algorithm based on two-direction crossover and grouped ...

Replace your own function into EvaluateIndividual.m script. Note that this genetic algorithm tries to maximise the output so invert your function according to your needs. Right now it tries to locate ...

In real world applications it can often be difficult to determine which optimization algorithm to use. This is especially true if the problem has multiple objectives, which is a common occurrence in ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

Specifically, a combination of genetic algorithm (function ga) and the fminsearch algorithm in MATLAB was utilized to minimize the residual sum of squares ... was solved using the ODE23s function in ...

Search syntax tips. Provide feedback We ... 709 Java 604 C++ 500 JavaScript 424 C# 237 MATLAB 187 C 126 HTML 97 TypeScript 96. Sort: Recently updated. Sort options. Most ... local search, simulated ...