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On several concepts for ɛ-efficiency
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-46631-1_10openalex-snapshot
Multicriteria Optimization in the DISO System
inferredcites →https://doi.org/10.1007/978-3-642-50280-4openalex-snapshot
Theory of Vector Optimization
inferredcites →https://doi.org/10.1007/bf00122049openalex-snapshot
Approximation in multiobjective optimization
inferredcites →https://doi.org/10.1007/bf00932614openalex-snapshot
Cone convexity, cone extreme points, and nondominated solutions in decision problems with multiobjectives
inferredcites →https://doi.org/10.1007/bf00936165openalex-snapshot
?-solutions in vector minimization problems
inferredcites →https://doi.org/10.1007/bf00938314openalex-snapshot
On two generalizations of Pareto minimality
inferredcites →https://doi.org/10.1007/bf00940466openalex-snapshot
?-duality theorem of nondifferentiable nonconvex multiobjective programming
inferredcites →https://doi.org/10.1007/bf00941179openalex-snapshot
Approximate saddle-point theorems in vector optimization
inferredcites →https://doi.org/10.1007/bf02247962openalex-snapshot
ε-Optimality for bicriteria programs and its application to minimum cost flows
inferredcites →https://doi.org/10.1007/bfb0042791openalex-snapshot
Multicriteria optimization in the diso system
inferredcites →https://doi.org/10.1016/0066-4138(85)90035-7openalex-snapshot
Approximate solutions of vector optimization problems
inferredcites →https://doi.org/10.1016/b978-1-4832-0065-1.50014-3openalex-snapshot
METHODS OF NUMERICAL SOLUTION
inferredcites →https://doi.org/10.1017/s1446788700033139openalex-snapshot
Approximate dual and approximate vector variational inequality for multiobjective optimization
inferredcites →https://doi.org/10.1080/02331938908843483openalex-snapshot
Between Pareto efficiency and Pareto ε-efficiency
inferredcites →https://doi.org/10.1080/02331938908843501openalex-snapshot
Approximating families of cones and proper efficiency in vector optimization
inferredcites →https://doi.org/10.1080/02331939008843621openalex-snapshot
An approximation method for the efficiency set of multiobjective programming problems
inferredcites →https://doi.org/10.1080/02331939208843815openalex-snapshot
A generalization of ekellandz’s variational principle
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9780470400531.eorms0810openalex-snapshot
Nonlinear Multiobjective Programming
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Theory of Vector Optimization
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Conditions and parametric representations of approximate minimal elements of a set through scalarization
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Optimality Conditions for Tanaka’s Approximate Solutions in Vector Optimization
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Quality Assessment of Pareto Set Approximations
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Evolutionary Multiobjective Optimization
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ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization
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A Tutorial on Evolutionary Multiobjective Optimization
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Well-posedness in Vector Optimization
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On variational principles, level sets, well-posedness, and ∈-solutions in vector optimization
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Optimizing time–cost trade-offs in product development projects with a multi-objective evolutionary algorithm
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On Approximate Efficiency in Multiobjective Programming
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Axiomatic approach to approximate solutions in multiobjective optimization
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On Approximate Solutions in Vector Optimization Problems Via Scalarization
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Convergence of stochastic search algorithms to finite size pareto set approximations
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A generic approach to approximate efficiency and applications to vector optimization with set-valued maps
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Covers and approximations in multiobjective optimization
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Nonlinear separation theorems for co-radiant sets and optimality conditions for approximate and proper approximate solutions in vector optimization
inferred← citeshttps://doi.org/10.1007/s10957-007-9191-3openalex-snapshot
Optimality Conditions for Metrically Consistent Approximate Solutions in Vector Optimization
inferred← citeshttps://doi.org/10.1007/s10957-007-9235-8openalex-snapshot
Cone Characterizations of Approximate Solutions in Real Vector Optimization
inferred← citeshttps://doi.org/10.1007/s10957-012-0259-3openalex-snapshot
Lagrange Multiplier Rules for Weak Approximate Pareto Solutions of Constrained Vector Optimization Problems in Hilbert Spaces
inferred← citeshttps://doi.org/10.1007/s11750-011-0223-7openalex-snapshot
Equivalent ε-efficiency notions in vector optimization
inferred← citeshttps://doi.org/10.1016/j.amc.2006.05.095openalex-snapshot
IT-CEMOP: An iterative co-evolutionary algorithm for multiobjective optimization problem with nonlinear constraints
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Metaheuristics and cooperative approaches for the Bi-objective Ring Star Problem
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A multiobjective evolutionary algorithm for approximating the efficient set
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A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO
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Stochastic convergence of random search methods to fixed size Pareto front approximations
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A new three-dimensional encoding multiobjective evolutionary algorithm with application to the portfolio optimization problem
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Generalized -quasi-solutions in multiobjective optimization problems: Existence results and optimality conditions
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On the convergence of multiobjective evolutionary algorithms
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ε-Conjugate maps andε-conjugate duality in vector optimization with set-valued maps
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Scalarization for characterization of approximate strong/weak/proper efficiency in multi-objective optimization
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On a practical notion of Geoffrion proper optimality in multicriteria optimization
inferred← citeshttps://doi.org/10.1080/02331934.2020.1857753openalex-snapshot
Lagrange multiplier rules for weak approximate Pareto solutions to constrained vector optimization problems with variable ordering structures
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Exact and approximate vector Ekeland variational principles
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Limit sets in global multiobjective optimization
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∊-Variational inequalities in partially ordered spaces
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Characterizing ϵ-properly efficient solutions
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Optimality conditions via a unified direction approach for (approximate) efficiency in multiobjective optimization
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A primal-dual multiobjective evolutionary algorithm for approximating the efficient set
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Profit maximization in cloud computing
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Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining
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A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software framework
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Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables
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A new method of smoothness‐constrained magnetotelluric modelling with the utility of Pareto‐optimal multi‐objective particle swarm optimization
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A Unified Approach and Optimality Conditions for Approximate Solutions of Vector Optimization Problems
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A Unified Separation Theorem for Closed Sets in a Banach Space and Optimality Conditions for Vector Optimization
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Evolutionary multiobjective optimization
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Quality Evaluation of Solution Sets in Multiobjective Optimisation
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Combining Convergence and Diversity in Evolutionary Multiobjective Optimization
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Hybrid PSO-MOBA for Profit Maximization in Cloud Computing
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A Unified Model for Evolutionary Multiobjective Optimization and its Implementation in a General Purpose Software Framework: ParadisEO-MOEO
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