Efficient algorithms for solving nonlinear fractional programming problems

An efficient modified neural network for solving nonlinear programming problems with hybrid constraints

This paper presents ‎‎the optimization techniques for solving‎‎ convex programming problems with hybrid constraints‎.‎ According to the saddle point theorem‎, ‎optimization theory‎, ‎convex analysis theory‎, ‎Lyapunov stability theory and LaSalle‎‎invariance principle‎,‎ a neural network model is constructed‎.‎ The equilibrium point of the proposed model is proved to be equivalent to the optima...

Fuzzy Primal Simplex Algorithms for Solving Fuzzy Linear Programming Problems

A dynamic programming approach for solving nonlinear knapsack problems

Nonlinear Knapsack Problems (NKP) are the alternative formulation for the multiple-choice knapsack problems. A powerful approach for solving NKP is dynamic programming which may obtain the global op-timal solution even in the case of discrete solution space for these problems. Despite the power of this solu-tion approach, it computationally performs very slowly when the solution space of the pr...

Solving Fractional Programming Problems based on Swarm Intelligence

This paper presents a new approach to solve Fractional Programming Problems (FPPs) based on two different Swarm Intelligence (SI) algorithms. The two algorithms are: Particle Swarm Optimization, and Firefly Algorithm. The two algorithms are tested using several FPP benchmark examples and two selected industrial applications. The test aims to prove the capability of the SI algorithms to s...

a dynamic programming approach for solving nonlinear knapsack problems

nonlinear knapsack problems (nkp) are the alternative formulation for the multiple-choice knapsack problems. a powerful approach for solving nkp is dynamic programming which may obtain the global op-timal solution even in the case of discrete solution space for these problems. despite the power of this solu-tion approach, it computationally performs very slowly when the solution space of the pr...