Results 1 to 10 of about 903,972 (338)

Mathematical Modeling and Optimization of Real-Time Resource Allocation in Large-Scale Decentralized Computing Networks

Ramee RiadHwsein
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A New Ant Colony Optimization-Based Dynamic Path Planning and Energy Optimization Model in Wireless Sensor Networks for Mobile Sink by Using Mixed-Integer Linear Programming. [PDF]

Biomimetics (Basel)
Chen F, Wu X, Wang Z, Qi W, Li P.
europepmc   +1 more source

Orbiter-Probe Cooperative Optimization Algorithm and Its Mathematical Modeling

Zhang, Jincheng
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Optimization of fuzzy logic controller in the converter of a standalone solar power system using the firefly algorithm. [PDF]

Sci Rep
Nouri P, Kamarposhti MA, Nouri T, Radmehr M.   +3 more
europepmc   +1 more source

MOPS — Mathematical optimization system

European Journal of Operational Research, 1994
Abstract This paper discusses a software system for solving large scale linear and mixed-integer optimization models. The system in its present form is the result of several years of research and development. The first functional version of MOPS was completed 1987 for the IBM 6150 (a predecessor of the RS/6000) under AIX.
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Mathematical Optimization Techniques

2011
The objectives of this chapter are: Explaining some optimization techniques. Explaining the minimum norm theorem and how it could be used as an optimization algorithm, where a set of equations can be obtained. Introducing the fuzzy system as an optimization technique.
Soliman Abdel-Hady Soliman, Abdel-Aal Hassan Mantawy   +1 more
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Input optimization: I. Optimal realizations of mathematical models

Mathematical Programming, 1985
Input optimization is a conceptually new level of optimization, at which the mathematical programming model, rather than a usual program, is optimized. This is achieved by optimizing the optimal value function by stable perturbations of the parameters considered as ''input''.
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Mathematically Optimizing Water Management

Critical Transitions in Water and Environmental Resources Management, 2004
Software for formally optimizing groundwater and conjunctive water management has improved dramatically in recent years. Historically utilized have been a range of classical and heuristic optimization methods, and of simulator and surrogate simulator techniques.
Peralta, Richard C., Kalwij, I. M.
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Some Mathematical Optimization Techniques

1990
This chapter addresses certain mathematical optimization techniques that have been applied to distributed parameter models. We discuss variational calculus, dynamic programming, Pontryagin’s maximum principle and the minimum norm problems of functional analysis.
G. S. Christensen, S. A. Soliman, R. Nieva   +2 more
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Mathematical Optimization Techniques

OR, 1964
S. Vajda, Richard Bellman
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