localsolver programming language (LSP)mixed‐integer linear programming (MIP)state‐of‐the‐artSummary Mixed-integer linear programming (MILP or simply MIP) is undoubtedly the most powerful general-purpose approach to combinatorial optimization. Based on a simple and rather generic mathematical formalism...
In this paper, we obtain an integer linear programming (ILP) model for the WSCP, and design an efficient local search algorithm named LS-WSC to solve WSCP. To this end, we propose two ideas to make LS-WSC effective. Firstly, we design an adaptive strategy to change the number of color...
Integer linear programmingMatheuristicIn this paper we address the Vehicle Routing Problem with Pickups and Deliveries (VRPPD), an extension of the classical Vehicle Routing Problem (VRP) where we consider precedences among customers, and develop an Integer Linear Programming (ILP) based local search ...
Poljak, S.: Integer linear programs and local search for max-cut. SIAM J. Comput. 24(4), 822–839 (1995) ArticleMATHMathSciNetGoogle Scholar Prokopyev, O.A., Huang, H.-X., Pardalos, P.M.: On complexity of unconstrained hyperbolic 0-1 programming problems. Operations Research Letters...
The problem was formalized as an integer linear programming model. To solve it an exact approach and the heuristic approach ILS were used. Computational experiments are conducted on different industrial cases to evaluate and to compare the performances of the proposed approaches. The results confirm ...
Find the minimum of a linear function, subject to linear and integer constraints: Copy to clipboard. In[1]:= Direct link to example Out[1]= Find a minimum of a function over a geometric region: Copy to clipboard. In[1]:= Direct link to example ...
Modeling with Linear/Integer/Binary Programming & Metaheuristics pythondata-scienceoptimizationgenetic-algorithmamplevolutionary-algorithmssimulated-annealingmulti-objective-optimizationhill-climbingheuristicsparticle-swarm-optimizationtabu-searchbranch-and-boundmetaheuristicsnon-linear-optimizationlinear-optimizationvariable-nei...
search a long sequence for all occurrences of certain short sequences. We investigated 2 approaches. Simplified, the first works as follows. suppose that w = 4 and map each word to an integer between 1 and 204, so a word can be used as an index into an array of size 204 = 160,000...
1、1Local SearchInstructor: yedeshi 2 Coping With NP-HardnessWhat to do if: Divide and conquer Dynamic programmingGreedyLinear Programming/Network Flowsdoes not give a polynomial time algorithm?3Dealing with Hard Problems Must sacrifice one of three desired features.Solve problem to optimality.Solve ...
Nonlinear integer and discrete programming in mechanical design optimization Parsopoulos KE, Vrahatis MN et al (2002) Particle swarm optimization method for constrained optimization problems. Intell Technol Theory Appl New Trends Intell Technol 76(1):214–220 MATH Google Scholar Eskandar H, Sadollah...