An integer linear programming model for fair multitarget tracking in cooperative multirobot systems
Sign Up to like & getrecommendations! Published in 2019 at "Autonomous Robots"
DOI: 10.1007/s10514-018-9735-4
Abstract: Cooperative Multi-Robot Observation of Multiple Moving Targets (CMOMMT) denotes a class of problems in which a set of autonomous mobile robots equipped with limited-range sensors keep under observation a (possibly larger) set of mobile targets.… read more here.
Keywords: integer linear; fair multitarget; linear programming; model ... See more keywords
Modified linear programming and class 0 bounds for graph pebbling
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-016-0060-6
Abstract: Given a configuration of pebbles on the vertices of a connected graph G, a pebbling move removes two pebbles from some vertex and places one pebble on an adjacent vertex. The pebbling number of a… read more here.
Keywords: graphs; modified linear; class; graph pebbling ... See more keywords
Lipschitz Modulus of the Optimal Value in Linear Programming
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-01456-w
Abstract: The present paper is devoted to the computation of the Lipschitz modulus of the optimal value function restricted to its domain in linear programming under different types of perturbations. In the first stage, we study… read more here.
Keywords: lipschitz modulus; right hand; linear programming; modulus optimal ... See more keywords
On the Local and Superlinear Convergence of a Secant Modified Linear-Programming-Newton Method
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1407-1
Abstract: We present a superlinearly convergent method to solve a constrained system of nonlinear equations. The proposed procedure is an adaptation of the linear-programming-Newton method replacing the first-order information with a secant update. Thus, under mild… read more here.
Keywords: local superlinear; method; linear programming; newton method ... See more keywords
A robust augmented ε-constraint method (AUGMECON-R) for finding exact solutions of multi-objective linear programming problems
Sign Up to like & getrecommendations! Published in 2020 at "Operational Research"
DOI: 10.1007/s12351-020-00574-6
Abstract: Systems can be unstructured, uncertain and complex, and their optimisation often requires operational research techniques. In this study, we introduce AUGMECON-R, a robust variant of the augmented ε-constraint algorithm, for solving multi-objective linear programming problems,… read more here.
Keywords: objective linear; multi objective; method; linear programming ... See more keywords
Multi-choice probabilistic linear programming problem
Sign Up to like & getrecommendations! Published in 2017 at "OPSEARCH"
DOI: 10.1007/s12597-016-0272-7
Abstract: In this paper, we present a linear programming model where the parameter space contains some multi-choice parameters. Alternative choices of multi-choice parameter are considered as random variables. Using interpolating polynomial for each multi-choice parameter, the… read more here.
Keywords: methodology; multi choice; linear programming; model ... See more keywords
A time variant multi-objective particle swarm optimization algorithm for solving fuzzy number linear programming problems using modified Kerre’s method
Sign Up to like & getrecommendations! Published in 2020 at "Opsearch"
DOI: 10.1007/s12597-020-00482-5
Abstract: Recently, Ghanbari et al. (IEEE Transactions on Fuzzy Systems 27:1286–1294, 2019) have proposed modified Kerre’s method for comparison of LR fuzzy numbers. Here, we make use of the modified Kerre’s method to solve fuzzy linear… read more here.
Keywords: kerre method; linear programming; optimization; problem ... See more keywords
A New Method for Determining all Maximal Efficient Faces in Multiple Objective Linear Programming
Sign Up to like & getrecommendations! Published in 2017 at "Acta Mathematica Vietnamica"
DOI: 10.1007/s40306-015-0164-6
Abstract: Most of the known methods for finding the efficient set of a multiple objective linear programming (MOLP) problem are bottom-up search methods. Main difficulties of the known bottom-up search methods are to find all efficient… read more here.
Keywords: objective linear; multiple objective; bottom search; method ... See more keywords
A computational algorithm for the solution of fully fuzzy multi-objective linear programming problem
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Dynamics and Control"
DOI: 10.1007/s40435-017-0355-1
Abstract: The present paper defines a new distance function between two trapezoidal fuzzy (TrF) numbers which satisfies all the properties of metric and a degree of deviation between two TrF numbers. The proposed degree of deviation… read more here.
Keywords: programming problem; fully fuzzy; linear programming; solution ... See more keywords
Application of Center and Width Concepts to Solving Grey Linear Programming
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Applied and Computational Mathematics"
DOI: 10.1007/s40819-020-0800-2
Abstract: Linear programming is the optimization of a linear function under constraints of linear equations or inequalities. Since much of the information in the real world is unknown, linear programming does not produce acceptable results due… read more here.
Keywords: grey linear; linear programming; solving grey; information ... See more keywords
Optimization of unit commitment and economic dispatch in microgrids based on genetic algorithm and mixed integer linear programming
Sign Up to like & getrecommendations! Published in 2018 at "Applied Energy"
DOI: 10.1016/j.apenergy.2017.07.007
Abstract: Energy Management System (EMS) applications of modern power networks like microgrids have to respond to a number of stringent challenges due to current energy revolution. Optimal resource dispatch tasks must be handled with specific regard… read more here.
Keywords: integer linear; dispatch; unit; genetic algorithm ... See more keywords