In this paper, a new multi-objective dimension-based firefly algorithm (MODFA) is proposed
for solving the constrained multi-objective optimal power flow (MOOPF) problem with …

This paper aims to analyze Iran's long-term power sector development from economic,
environmental, social, and sustainable perspectives. For this purpose, a linear programming …

Designing the optimal mixture proportion of concrete pavements has been a significant
concern. Classical methods are not proficient to spot the optimal mixture design, and they …

We study the problem of optimizing a function under a\emph {budgeted number of
evaluations}. We only assume that the function is\emph {locally} smooth around one of its …

We present a black-box adversarial attack algorithm which sets new state-of-the-art model
evasion rates for query efficiency in the $\ell_\infty $ and $\ell_2 $ metrics, where only loss …

Traditionally, transport planning model systems are estimated and calibrated in an
unstructured way, which does not allow for interactions among included parameters to be …

Many researchers witness the efficiency of decomposition-based evolutionary multi-and
many-objective optimization algorithms in finding quality solutions on problems with regular …

Regression tasks aim to determine accurate and simple relationship expressions between
variables, which can be regarded as bi-objective optimization problems. As GP (genetic …

The complexity of Pareto fronts imposes a great challenge on the convergence analysis of
multi-objective optimization methods. While most theoretical convergence studies have …

This document briefly describes the Black-Box Multi-Objective Optimization Benchmarking
(BMOBench) platform. It presents the test problems, evaluation procedure, and experimental …