Pages that link to "Item:Q5433078"

The following pages link to Evolutionary Algorithms for Solving Multi-Objective Problems (Q5433078):

Displaying 50 items.

• IBEA-SVM: an indicator-based evolutionary algorithm based on pre-selection with classification guided by SVM (Q2422641) (← links)
• NAUTILUS navigator: free search interactive multiobjective optimization without trading-off (Q2423802) (← links)
• Data structures in multi-objective evolutionary algorithms (Q2434561) (← links)
• Optimization challenges in the structured low rank approximation problem (Q2434635) (← links)
• Multi-objective optimization with an adaptive resonance theory-based estimation of distribution algorithm (Q2441312) (← links)
• Survey of methods to visualize alternatives in multiple criteria decision making problems (Q2454350) (← links)
• Multi-objective evolutionary algorithms for knowledge discovery from databases. (Q2479106) (← links)
• Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm (Q2514758) (← links)
• Pareto frontier for the time-energy cost vector to an Earth-Moon transfer orbit using the patched-conic approximation (Q2516818) (← links)
• An exact method for the biobjective shortest path problem for large-scale road networks (Q2630225) (← links)
• Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization (Q2630818) (← links)
• A portfolio optimization model with three objectives and discrete variables (Q2655644) (← links)
• A bi-objective flexible flow shop scheduling problem with machine-dependent processing stages: trade-off between production costs and energy consumption (Q2656739) (← links)
• Pareto dominance based multiobjective cohort intelligence algorithm (Q2666753) (← links)
• A bi-objective branch-and-bound algorithm for the unit-time job shop scheduling: a mixed graph coloring approach (Q2668761) (← links)
• Peeking beyond peaks: challenges and research potentials of continuous multimodal multi-objective optimization (Q2669595) (← links)
• Impacts of synergies on software project scheduling (Q2673811) (← links)
• Simple and efficient bi-objective search algorithms via fast dominance checks (Q2680770) (← links)
• Parameter estimation with the Markov chain Monte Carlo method aided by evolutionary neural networks in a water hammer model (Q2686514) (← links)
• A multi-objective approach to identify parameters of compartmental epidemiological models -- application to Ebola virus disease epidemics (Q2700234) (← links)
• Memory gradient method for multiobjective optimization (Q2700431) (← links)
• Markovian queue optimisation analysis with an unreliable server subject to working breakdowns and impatient customers (Q2792956) (← links)
• Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems (Q2815512) (← links)
• On a cellular division method for topology optimization (Q2894863) (← links)
• Identifying Efficient Abductive Hypotheses Using Multicriteria Dominance Relation (Q2946739) (← links)
• Computing the Set of Approximate Solutions of a Multi-objective Optimization Problem by Means of Cell Mapping Techniques (Q2950784) (← links)
• A Hybrid Algorithm for the Simple Cell Mapping Method in Multi-objective Optimization (Q2950787) (← links)
• The Importance of Proper Diversity Management in Evolutionary Algorithms for Combinatorial Optimization (Q2958238) (← links)
• Multi-objective Optimal Design of Nonlinear Controls (Q2958242) (← links)
• Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem (Q2958626) (← links)
• Supply chain network design with efficiency, location, and inventory policy using a multiobjective evolutionary algorithm (Q2968502) (← links)
• Multi-objective evolutionary approach for supply chain network design problem within online customer consideration (Q2969963) (← links)
• Variable selection in STAR models with neighbourhood effects using genetic algorithms (Q3065556) (← links)
• Solving Highly-Dimensional Multi-Objective Optimization Problems by Means of Genetic Gender (Q3133955) (← links)
• Optimisation of a multi-objective two-dimensional strip packing problem based on evolutionary algorithms (Q3163365) (← links)
• A new mechanism to maintain diversity in multi-objective metaheuristics (Q3165901) (← links)
• “MOSS-II” Tabu/Scatter Search for Nonlinear Multiobjective Optimization (Q3509414) (← links)
• (Q3566080) (← links)
• Hybrid Behavioral-Based Multiobjective Space Trajectory Optimization (Q3627794) (← links)
• A new evolutionary algorithm for solving multi-objective optimization problems (Q4454477) (← links)
• (Q4574605) (← links)
• Generalized Lexicographic MultiObjective Combinatorial Optimization. Application to Cryptography (Q4588860) (← links)
• NSGA-II Based Decision-Making in Fuzzy Multi-objective Optimization of System Reliability (Q4613889) (← links)
• On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms (Q4649209) (← links)
• On the Integration of Theoretical Single-Objective Scheduling Results for Multi-objective Problems (Q4649211) (← links)
• (Q4670574) (← links)
• Parallel metaheuristics: recent advances and new trends (Q4921253) (← links)
• (Q4945556) (← links)
• Pareto optimal synthesis of eight-bar mechanism using meta-heuristic multi-objective search approaches: application to bipedal gait generation (Q5027999) (← links)
• Automated shape optimisation of a plane asymmetric diffuser using combined Computational Fluid Dynamic simulations and multi-objective Bayesian methodology (Q5031534) (← links)