SMS-EMOA
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Related Items (92)
Non-dominated sorting on performance indicators for evolutionary many-objective optimization ⋮ A new evolutionary algorithm based on contraction method for many-objective optimization problems ⋮ Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results ⋮ Distributed localized bi-objective search ⋮ On Beam Search for Multicriteria Combinatorial Optimization Problems ⋮ Recent Results and Open Problems in Evolutionary Multiobjective Optimization ⋮ Optimization of the p-xylene oxidation process by a multi-objective differential evolution algorithm with adaptive parameters co-derived with the population-based incremental learning algorithm ⋮ Two efficient algorithms for constructing almost even approximations of the Pareto front in multi-objective optimization problems ⋮ Pareto Explorer: a global/local exploration tool for many-objective optimization problems ⋮ Anytime Pareto local search ⋮ Multi-objectivization via decomposition: an analysis of helper-objectives and complete decomposition ⋮ Efficient optimization of many objectives by approximation-guided evolution ⋮ Multiobjective optimization: when objectives exhibit non-uniform latencies ⋮ A multi-objective local search heuristic for scheduling Earth observations taken by an agile satellite ⋮ Efficient algorithms for solving nonlinear fractional programming problems ⋮ A simulated annealing based genetic local search algorithm for multi-objective multicast routing problems ⋮ Multiobjective evolutionary optimization techniques based hyperchaotic map and their applications in image encryption ⋮ A many-objective particle swarm optimizer based on indicator and direction vectors for many-objective optimization ⋮ A concave optimization-based approach for sparse multiobjective programming ⋮ Hypervolume indicator and dominance reward based multi-objective Monte-Carlo tree search ⋮ Reinvestigation of evolutionary many-objective optimization: focus on the Pareto knee front ⋮ An adaptive clustering-based evolutionary algorithm for many-objective optimization problems ⋮ Peeking beyond peaks: challenges and research potentials of continuous multimodal multi-objective optimization ⋮ Computing representations using hypervolume scalarizations ⋮ A note on the \(\epsilon\)-indicator subset selection ⋮ Multi-objective geometry optimization of a gas cyclone using triple-fidelity co-Kriging surrogate models ⋮ The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume ⋮ Improving the anytime behavior of two-phase local search ⋮ Bi-goal evolution for many-objective optimization problems ⋮ On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization ⋮ Pareto-aware strategies for faster convergence in multi-objective multi-scale search optimization ⋮ Hypervolume-based multiobjective optimization: theoretical foundations and practical implications ⋮ Runtime analysis of a multi-objective evolutionary algorithm for obtaining finite approximations of Pareto fronts ⋮ New fitness sharing approach for multi-objective genetic algorithms ⋮ A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME ⋮ A scalarization-based dominance evolutionary algorithm for many-objective optimization ⋮ Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection ⋮ Kriging-based infill sampling criterion for constraint handling in multi-objective optimization ⋮ Single-objective and multi-objective optimization using the HUMANT algorithm ⋮ A Clustering-Based Multiobjective Evolutionary Algorithm for Balancing Exploration and Exploitation ⋮ Multi-objective optimization with an adaptive resonance theory-based estimation of distribution algorithm ⋮ A novel two-archive matching-based algorithm for multi- and many-objective optimization ⋮ Balancing exploration and exploitation in multiobjective evolutionary optimization ⋮ An adaptation reference-point-based multiobjective evolutionary algorithm ⋮ Many-objective optimization using adaptive differential evolution with a new ranking method ⋮ The Gradient Subspace Approximation and Its Application to Bi-objective Optimization Problems ⋮ A new resource allocation strategy based on the relationship between subproblems for MOEA/D ⋮ Population size matters: rigorous runtime results for maximizing the hypervolume indicator ⋮ Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization ⋮ Speeding up many-objective optimization by Monte Carlo approximations ⋮ Pareto optimization or cascaded weighted sum: a comparison of concepts ⋮ Multiobjective cloud particle optimization algorithm based on decomposition ⋮ Bi-objective hypervolume-based Pareto optimization ⋮ A multiobjective evolutionary algorithm based on decomposition with normal boundary intersection for traffic grooming in optical networks ⋮ Multi-Objective Combinatorial Optimization: Problematic and Context ⋮ ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization ⋮ A dual-population paradigm for evolutionary multiobjective optimization ⋮ Evolutionary Algorithms Applied to Multi-Objective Aerodynamic Shape Optimization ⋮ An efficient multi-objective optimization algorithm based on level swarm optimizer ⋮ Fast hypervolume approximation scheme based on a segmentation strategy ⋮ Objective extraction via fuzzy clustering in evolutionary many-objective optimization ⋮ A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation ⋮ Stochastic convergence of random search methods to fixed size Pareto front approximations ⋮ Convergence of set-based multi-objective optimization, indicators and deteriorative cycles ⋮ Efficient computation of expected hypervolume improvement using box decomposition algorithms ⋮ Multi-dimensional tree guided efficient global association for decomposition-based evolutionary many-objective optimization ⋮ An enhanced multi-objective evolutionary optimization algorithm with inverse model ⋮ Implicit enumeration strategies for the hypervolume subset selection problem ⋮ Game theory based evolutionary algorithms: a review with Nash applications in structural engineering optimization problems ⋮ Improving multi-objective algorithms performance by emulating behaviors from the human social analogue in candidate solutions ⋮ Performance indicators in multiobjective optimization ⋮ A stopping criterion for multi-objective optimization evolutionary algorithms ⋮ Approximate non-dominated sorting for evolutionary many-objective optimization ⋮ An analysis of the hypervolume Sharpe-ratio indicator ⋮ The directed search method for multi-objective memetic algorithms ⋮ A set of new multi- and many-objective test problems for continuous optimization and a comprehensive experimental evaluation ⋮ Shape optimization of a cyclone separator using multi-objective surrogate-based optimization ⋮ Targeting solutions in Bayesian multi-objective optimization: sequential and batch versions ⋮ Efficient covariance matrix update for variable metric evolution strategies ⋮ Using box indices in supporting comparison in multiobjective optimization ⋮ An extension of the non-inferior set estimation algorithm for many objectives ⋮ Domination Measure: A New Metric for Solving Multiobjective Optimization ⋮ An improved multiobjective differential evolution based on Pareto-adaptive \(\epsilon\) (Porson)-dominance and orthogonal design ⋮ Evolutionary search with multiple utopian reference points in decomposition-based multiobjective optimization ⋮ Multi-objective simultaneous optimistic optimization ⋮ Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization ⋮ Multiobjective swarm intelligence for the traffic grooming problem ⋮ COCO: a platform for comparing continuous optimizers in a black-box setting ⋮ On using the hypervolume indicator to compare Pareto fronts: applications to multi-criteria optimal experimental design ⋮ A new multi-objective particle swarm optimisation algorithm based on R2 indicator selection mechanism ⋮ Handling many-objective optimisation problems with R2 indicator and decomposition-based particle swarm optimiser ⋮ Pareto optimal synthesis of eight-bar mechanism using meta-heuristic multi-objective search approaches: application to bipedal gait generation
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