*4.4. Multi-Objective Optimization*

#### 4.4.1. QoS Aware Web Service Composition Optimization

Sadouki et al. [167] proposed a new discrete multi-objective metaheuristic bio-inspired pareto-based approach based on the EHO algorithm to solve the QoS aware web service composition problem. Compared with the multi-objective particle swarm optimization (MOPSO) algorithm and strength pareto evolutionary algorithm 2 (SPEA2), the results showed that the presented method significantly outperformed MOPSO and SPEA2 in terms of set coverage and spacing metrics.
