Many-objective evolutionary algorithms: A survey
Multiobjective evolutionary algorithms (MOEAs) have been widely used in real-world
applications. However, most MOEAs based on Pareto-dominance handle many-objective …
applications. However, most MOEAs based on Pareto-dominance handle many-objective …
Indicator-based multi-objective evolutionary algorithms: A comprehensive survey
JG Falcón-Cardona, CAC Coello - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
For over 25 years, most multi-objective evolutionary algorithms (MOEAs) have adopted
selection criteria based on Pareto dominance. However, the performance of Pareto-based …
selection criteria based on Pareto dominance. However, the performance of Pareto-based …
Theory of randomized search heuristics: Foundations and recent developments
Randomized search heuristics such as evolutionary algorithms, genetic algorithms,
evolution strategies, ant colony and particle swarm optimization turn out to be highly …
evolution strategies, ant colony and particle swarm optimization turn out to be highly …
Preference incorporation in evolutionary multiobjective optimization: A survey of the state-of-the-art
Abstract After using Evolutionary Algorithms (EAs) for solving multiobjective optimization
problems for more than two decades, the incorporation of the decision maker's (DM's) …
problems for more than two decades, the incorporation of the decision maker's (DM's) …
On the influence of the number of objectives on the hardness of a multiobjective optimization problem
In this paper, we study the influence of the number of objectives of a continuous
multiobjective optimization problem on its hardness for evolution strategies which is of …
multiobjective optimization problem on its hardness for evolution strategies which is of …
A review of hybrid evolutionary multiple criteria decision making methods
For real-world problems, the task of decision-makers is to identify a solution that can satisfy a
set of performance criteria, which are often in conflict with each other. Multi-objective …
set of performance criteria, which are often in conflict with each other. Multi-objective …
Multi-objective fitness-dependent optimizer algorithm
This paper proposes the multi-objective variant of the recently-introduced fitness dependent
optimizer (FDO). The algorithm is called a multi-objective fitness dependent optimizer …
optimizer (FDO). The algorithm is called a multi-objective fitness dependent optimizer …
Do performance aspirations matter for guiding software configuration tuning? an empirical investigation under dual performance objectives
Configurable software systems can be tuned for better performance. Leveraging on some
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …
Progressive preference articulation for decision making in multi-objective optimisation problems
This paper proposes a novel algorithm for addressing multi-objective optimisation problems,
by employing a progressive preference articulation approach to decision making. This …
by employing a progressive preference articulation approach to decision making. This …
Bi-objective optimization for integrating quay crane and internal truck assignment with challenges of trucks sharing
Due to both the rapid growth of world and the expansion of the flow of container shipment, a
maritime container terminal plays a vital role in global coverage of supply chain. In this …
maritime container terminal plays a vital role in global coverage of supply chain. In this …