IEEE

Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-Objective Optimization

Abstract: Constrained multi-objective optimization problems (CMOPs) are of great significance in the context of practical applications, ranging from scientific to engineering domains. Most existing ...
IEEE

Strategy Selection in Dynamic Constrained Multi-Objective Optimization via State-Augmented Deep Reinforcement Learning

Abstract: Dynamic constrained multi-objective optimization problems are characterized by time-varying objectives, decision variables, and constraints, presenting significant challenges for ...
eLife

Distinct allosteric remodeling of HIV-1 Env dynamics on virions by gp41-directed antibodies reveals two modes of neutralization

HIV-1 envelope glycoprotein (Env), a gp120–gp41 trimer, undergoes coordinated conformational changes that drive membrane fusion and allow immune evasion by transiently concealing ...
GitHub

Get_Functions_details.m

o=(pi/dim)*(10*((sin(pi*(1+(x(1)+1)/4)))^2)+sum((((x(1:dim-1)+1)./4).^2).*... (1+10.*((sin(pi.*(1+(x(2:dim)+1)./4)))).^2))+((x(dim)+1)/4)^2)+sum(Ufun(x,10,100,4)); o ...