The following pages link to SMS-EMOA (Q23830):
Displaying 42 items.
- Balancing exploration and exploitation in multiobjective evolutionary optimization (Q2215078) (← links)
- An adaptation reference-point-based multiobjective evolutionary algorithm (Q2215143) (← links)
- A new resource allocation strategy based on the relationship between subproblems for MOEA/D (Q2224823) (← links)
- Efficient computation of expected hypervolume improvement using box decomposition algorithms (Q2274866) (← links)
- A stopping criterion for multi-objective optimization evolutionary algorithms (Q2282042) (← links)
- Approximate non-dominated sorting for evolutionary many-objective optimization (Q2282051) (← links)
- An analysis of the hypervolume Sharpe-ratio indicator (Q2286981) (← links)
- A set of new multi- and many-objective test problems for continuous optimization and a comprehensive experimental evaluation (Q2289008) (← links)
- Shape optimization of a cyclone separator using multi-objective surrogate-based optimization (Q2290582) (← links)
- Targeting solutions in Bayesian multi-objective optimization: sequential and batch versions (Q2294603) (← links)
- An extension of the non-inferior set estimation algorithm for many objectives (Q2301933) (← links)
- Evolutionary search with multiple utopian reference points in decomposition-based multiobjective optimization (Q2325188) (← links)
- Multiobjective swarm intelligence for the traffic grooming problem (Q2340529) (← links)
- On using the hypervolume indicator to compare Pareto fronts: applications to multi-criteria optimal experimental design (Q2344385) (← links)
- Multi-objective optimization with an adaptive resonance theory-based estimation of distribution algorithm (Q2441312) (← links)
- Multiobjective evolutionary optimization techniques based hyperchaotic map and their applications in image encryption (Q2658572) (← links)
- A many-objective particle swarm optimizer based on indicator and direction vectors for many-objective optimization (Q2660707) (← links)
- Reinvestigation of evolutionary many-objective optimization: focus on the Pareto knee front (Q2663476) (← links)
- An adaptive clustering-based evolutionary algorithm for many-objective optimization problems (Q2666821) (← links)
- Peeking beyond peaks: challenges and research potentials of continuous multimodal multi-objective optimization (Q2669595) (← links)
- Computing representations using hypervolume scalarizations (Q2669609) (← links)
- Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization (Q2848276) (← links)
- On Beam Search for Multicriteria Combinatorial Optimization Problems (Q2902929) (← links)
- The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume (Q2950786) (← links)
- On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization (Q2958241) (← links)
- Single-objective and multi-objective optimization using the HUMANT algorithm (Q2966470) (← links)
- Evolutionary Algorithms Applied to Multi-Objective Aerodynamic Shape Optimization (Q3020446) (← links)
- Domination Measure: A New Metric for Solving Multiobjective Optimization (Q3386783) (← links)
- Multi-Objective Combinatorial Optimization: Problematic and Context (Q3562815) (← links)
- ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization (Q3562822) (← links)
- A new multi-objective particle swarm optimisation algorithm based on R2 indicator selection mechanism (Q5026876) (← links)
- Handling many-objective optimisation problems with R2 indicator and decomposition-based particle swarm optimiser (Q5027940) (← links)
- Pareto optimal synthesis of eight-bar mechanism using meta-heuristic multi-objective search approaches: application to bipedal gait generation (Q5027999) (← links)
- Recent Results and Open Problems in Evolutionary Multiobjective Optimization (Q5055974) (← links)
- Optimization of the <i>p</i>-xylene oxidation process by a multi-objective differential evolution algorithm with adaptive parameters co-derived with the population-based incremental learning algorithm (Q5058767) (← links)
- Two efficient algorithms for constructing almost even approximations of the Pareto front in multi-objective optimization problems (Q5058972) (← links)
- Pareto Explorer: a global/local exploration tool for many-objective optimization problems (Q5059355) (← links)
- Efficient algorithms for solving nonlinear fractional programming problems (Q5080834) (← links)
- A Clustering-Based Multiobjective Evolutionary Algorithm for Balancing Exploration and Exploitation (Q5117739) (← links)
- The Gradient Subspace Approximation and Its Application to Bi-objective Optimization Problems (Q5131688) (← links)
- COCO: a platform for comparing continuous optimizers in a black-box setting (Q5859012) (← links)
- The directed search method for multi-objective memetic algorithms (Q5963675) (← links)
