To obtain Pareto optimal solutions, a multi-objective version of ant colony optimization is used.
Rabbani et al. (2016) proposed a multi-objective version of GA for line balancing in assembly lines.
A multi-objective version of the particle-swarm optimization algorithm is implemented to minimize the total earliness tardiness and the makespan simultaneously.
This novel article presents the multi-objective version of the recently proposed the Grey Wolf Optimizer (GWO) known as Non-Dominated Sorting Grey Wolf Optimizer (NSGWO).
This work proposes the multi-objective version of the recently proposed Multi-Verse Optimizer (MVO) called Multi-Objective Multi-Verse Optimizer (MOMVO).
Due to the novelty of the Grey Wolf Optimizer (GWO), there is no study in the literature to design a multi-objective version of this algorithm.
For this reason, we modelled DNA sequence design as a multiobjective optimization problem and we solved it by using an adapted multi-objective version of DE metaheuristics.
Both works examine two different optimization problems, the first has as constraint the necessary budget while the second constraints the workload's makespan; in contrast, we focus on the multi-objective version of the aforementioned problems.
In this paper, we use an adapted multi-objective version of the differential evolution (DE) metaheuristics for the design and generation of reliable DNA libraries that can be used for computation.
In this paper, we use an adapted multi-objective version of the differential evolution (DE) evolutionary algorithm which has been successfully applied to several real instances of the problem.
A multi-objective version of this problem can simply be obtained by adding new profits to each item.
