This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

Complexity and variety of modern multiobjective optimisation problems result in the
emergence of numerous search techniques, from traditional mathematical programming to …

Open loading-unloading mode of refined oil shipment will cause oil gas to escape, which not
only refers to the environmental pollution but also economic losses. Therefore, closed mode …

This work proposes a new multi-objective algorithm inspired from the navigation of grass
hopper swarms in nature. A mathematical model is first employed to model the interaction of …

Hyperparameter optimization (HPO) is a necessary step to ensure the best possible
performance of Machine Learning (ML) algorithms. Several methods have been developed …

Abstract Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the pheromone
trail laying and following behavior of some ant species. Artificial ants in ACO are stochastic …

Combining ant colony optimization (ACO) and the multiobjective evolutionary algorithm (EA)
based on decomposition (MOEA/D), this paper proposes a multiobjective EA, ie, MOEA/D …

This paper proposes a new multiobjective algorithm by extending the recently Whale
Optimization Algorithm (WOA) to solve multiobjective optimization problems. Our algorithm …

In many optimization problems, the main goal is to improve a single performance index in
which a minimum or maximum value of this index fully reflects the quality of the response …

Interactive multiobjective optimization (IMO) aims at finding the most preferred solution of a
decision maker with the guidance of his/her preferences which are provided progressively …