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mixed-integer nonlinear optimization problems

AN MINLP APPROACH FOR OPTIMAL DG UNIT'S ALLOCATION IN RADIAL/MESH DISTRIBUTION SYSTEMS TAKE INTO ACCOUNT VOLTAGE STABILITY INDEX

AN MINLP APPROACH FOR OPTIMAL DG UNIT'S ALLOCATION IN RADIAL/MESH DISTRIBUTION SYSTEMS TAKE INTO ACCOUNT VOLTAGE STABILITY INDEX

... general optimization problems, one of the favorite choices is the general algebraic modeling system (GAMS) software ...complex problems, and allows creating and maintaining models for a wide variety ...

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An Exact Penalty Approach for Mixed Integer Nonlinear Programming Problems

An Exact Penalty Approach for Mixed Integer Nonlinear Programming Problems

... [5] D. K. Shin, Z. Gürdal and O. H. Griffin Jr., “A Penalty Approach for Nonlinear Optimization with Discrete De- sign Variables,” Engineering Optimization, Vol. 16, No. 1, 1990, pp. 29-42. ...

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A Particle Swarm Optimization Algorithm for Mixed-Variable Nonlinear Problems

A Particle Swarm Optimization Algorithm for Mixed-Variable Nonlinear Problems

... In many engineering optimization problems, the variables cannot accept arbitrary values. That is to say, for practical reasons, some or all of the variables must be selected from a list of integer or ...

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A New Procedure for Reactive Power Market Clearing Considering Distributed Energy Resources

A New Procedure for Reactive Power Market Clearing Considering Distributed Energy Resources

... MINLP optimization problem is handled by decomposing the problem into two ...a mixed-integer linear problem and the second one is a nonlinear ...slave problems are presented ...

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Integrated production and distribution scheduling for perishable products

Integrated production and distribution scheduling for perishable products

... a mixed-integer nonlinear programming model of the problem, because it is NP-hard, an Improved Particle Swarm Optimization (IPSO) is ...commercial optimization software for small-size ...

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On the interplay of Mixed Integer Linear, Mixed Integer Nonlinear and Constraint Programming

On the interplay of Mixed Integer Linear, Mixed Integer Nonlinear and Constraint Programming

... flow problems have been extensively studied as an application of LP [BJS11], basically from its early days on, and later the applications were ex- tended by introducing discrete decisions, thus giving rise to ...

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Reactive Power Optimization Based on Parallel Immune Particle Swarm Optimization

Reactive Power Optimization Based on Parallel Immune Particle Swarm Optimization

... power optimization of power system is a real integer mixed nonlinear programming problems with multi-objective, multi-variable, ...Its optimization variables consists of both ...

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Solving nonlinear optimization problems with bipolar fuzzy relational equation constraints

Solving nonlinear optimization problems with bipolar fuzzy relational equation constraints

... Due to the simultaneous appearance of x and ¬ x, it was shown by Li and Jin [] and Li and Liu [] that determining whether A + ◦ x ∨ A – ◦ ¬ x = b has a solution or not is an NP- complete problem because it can be ...

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Global optimization of mixed-integer polynomial programming problems: A new method based on Grobner Bases theory

Global optimization of mixed-integer polynomial programming problems: A new method based on Grobner Bases theory

... MINLP problems, a system of nonlinear equations is obtained and the analytical algorithm for solving them is not ...MINLP problems, the KKT condition results in a polynomial equation system (PES) ...

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Applying queuing theory for a reliable integrated location –inventory problem under facility disruption risks

Applying queuing theory for a reliable integrated location –inventory problem under facility disruption risks

... single optimization model for determining both tactical and strategic decisions, ...set-covering integer programming ...two mixed-integer nonlinear problems for joint inventory ...

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A Novel Interactive Possibilistic Mixed Integer Nonlinear Model for Cellular Manufacturing Problem under Uncertainty

A Novel Interactive Possibilistic Mixed Integer Nonlinear Model for Cellular Manufacturing Problem under Uncertainty

... comprehensive integer linear programming ...dynamic nonlinear mixed integer programming approach to provide a group layout of CMS concerning the production planning ...layouts ...

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Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review

Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review

... the optimization problems that are available in the current scenario, necessitates the basic need for modelling the continuous variables and discrete variables using the Mixed Integer Linear ...

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Decomposition and Mean-Field Approach to Mixed Integer Optimal Compensation Problems

Decomposition and Mean-Field Approach to Mixed Integer Optimal Compensation Problems

... . The only difference here is that, now, because of the presence of z αβ i in the right-hand term, the constraints referring to a given regeneration interval come into play only if that interval is chosen as part of the ...

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A Multi-objective Hierarchical Location-allocation Model for the Healthcare Network Design Considering a Referral System

A Multi-objective Hierarchical Location-allocation Model for the Healthcare Network Design Considering a Referral System

... single-objective mixed-integer non-linear programming model for a single-level facility location network design problem considering reliability associated with ...non-linear integer model for ...

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Solving multiobjective mixed integer convex optimization problems

Solving multiobjective mixed integer convex optimization problems

... of the problem by adaptively computing hyperplanes considering some meaningful local upper bounds. Then, in case we want to improve our lower bound, we compute additional hyperplanes that outer approximate the convex ...

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An Interactive Fuzzy Satisficing Method for Multiobjective Stochastic Integer Programming with Simple Recourse

An Interactive Fuzzy Satisficing Method for Multiobjective Stochastic Integer Programming with Simple Recourse

... multiobjective integer programming problems involving random variables in ...recourse problems are transformed into deterministic ...deterministic problems efficiently, we also introduce ...

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An Optimization Model for Multi-period Multi-Product Multi-objective Production Planning

An Optimization Model for Multi-period Multi-Product Multi-objective Production Planning

... a mixed integer linear programming (MILP) optimization model to solve the partner selection, and production planning problem in the design of manufacturing chains operating under a multi-product, ...

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An Integer Coding Based Optimization Model for Queen Problems

An Integer Coding Based Optimization Model for Queen Problems

... location based hybridization process is performed between the individual corresponding to the integer m and the optimal individual kmax at the point c. If the preferable individual in the hybrid progenies is ...

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AC-Based Differential Evolution Algorithm for Dynamic Transmission Expansion Planning

AC-Based Differential Evolution Algorithm for Dynamic Transmission Expansion Planning

... the optimization step, where G=1 and applying mutation, crossover and selection to generate the new ...the optimization process and will continue searching. The optimization step for finding the best ...

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A mixed integer linear programming approach to forest utilisation management problems

A mixed integer linear programming approach to forest utilisation management problems

... area for management units that arise in a model I or model II formulation are termed structural constraints, whereas those constraints that integrate the flow of resources from managemen[r] ...

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