The success of the Particle Swarm Optimization (PSO) algorithm as a single-objective
optimizer (mainly when dealing with continuous search spaces) has motivated researchers …

Recent advances in structural technology require greater accuracy, efficiency and speed in
design of structural systems. It is therefore not surprising that new methods have been …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

In this paper, we propose a new Multi-Objective Particle Swarm Optimizer, which is based
on Pareto dominance and the use of a crowding factor to filter out the list of available …

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 …

Economic dispatch is a highly constrained optimization problem encompassing interaction
among decision variables. Environmental concerns that arise due to the operation of fossil …

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 …

Since the appearance of cloud computing, computing capacity has been charged as a
service through the network. The optimal scheduling of computing resources (OSCR) over …

This paper aims at multi-objective optimization of single-product for four-echelon supply
chain architecture consisting of suppliers, production plants, distribution centers (DCs) and …

A vehicular ad hoc network (VANET) is a wirelessly connected network of vehicular nodes. A
number of techniques, such as message ferrying, data aggregation, and vehicular node …