The aim os this paper is to study the hybridization of two multi-objective algorithms in the context of a real problem, the MANETs problem. The algorithms studied are Particle Swarm Optimization (MOPSO) and a new multiobjective algorithm based in the combination of NSGA-II with Evolution Strategies (ESN). This work analyzes the improvement produced by hybridization over the Pareto’s fronts comp...

This paper focuses on obtaining an optimal speed trajectory for a train regarding its energy consumption as well as its travelling time simultaneously. Dynamic model of a train on a predefined track including slopes and tunnels is developed. Considering complexity of analytical optimization method for antithetic objectives, NSGA-II and MOPSO evolutionary algorithms are employed to solve the mul...

In the present study, multi-objective optimization of centrifugal pumps is performed at three steps. At the first step, η and NPSHr in a set of centrifugal pump are numerically investigated using commercial software. Two meta-models based on the evolved group method of data handling (GMDH) type neural networks are obtained, at the second step, for modeling of η and NPSHr with respect to geometr...

This paper presents an algorithm for multiobjective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighborhood of each agent. These heuristics are complemented with a combination of a local and global archive. The novel agentbased algorithm is tested at first on a set of standard...

The purpose of this research study is to solve a four-objective optimization problem in the construction industry using hybrid model that combines slime mould algorithm (SMA) with opposition-based learning. This known as adaptive opposition (AOSMA). Two typical projects have introduced time, cost, quality, and safety trade-off (TCQS), which are factors greatest influence on completion project r...

This paper studies a location–routing–inventory problem in a multi-period closed-loop supply chain with multiple suppliers, producers, distribution centers, customers, collection centers, recovery, and recycling centers. In this supply chain, centers are multiple levels, a price increase factor is considered for operational costs at centers, inventory and shortage (including lost sales and back...