Details persistence axioms suggest that almost any based method conducts a normal quest
without substitution, as well as an evolutionary algorithm unless it makes fun of concern …

The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm that
has made some significant advances since its introduction in 2020. A detailed overview of …

This work presents a multi-objective optimization method based on the artificial bee colony,
called the MOABC, for optimizing problems with multiple objectives. The MOABC uses a grid …

Assembly lines are useful for mass production of standard as well as customized products.
Line balancing is an important issue, in this regard an optimal or near optimal balance can …

An improved strength Pareto evolutionary algorithm is proposed to solve the multi-objective
optimal power flow problem. The fuel cost and emission are considered as two objective …

Utility computing was a vision stated more than 40 years ago. It refers to the idea that
computing resources and services can be delivered, utilized, and paid for as utilities such as …

This paper proposes a novel and an effective multi-objective optimization algorithm named
multi-objective sine-cosine algorithm (MO-SCA) which is based on the search technique of …

In this paper, a modified teaching–learning based optimization algorithm is analyzed to
solve the multi-objective optimal power flow problem considering the total fuel cost and total …

Renewable energy resources and transport electrification have become essential
components of modern and future distribution planning. Despite the impetus of economic …

A key factor of win–win cloud economy is how to trade off between the application
performance from customers and the profit of cloud providers. Current researches on cloud …