Layout Optimization of the Six-Axis Industrial Robot Based on an Improved Whale Algorithm for Reducing Energy Consumption in Industry 5.0. [PDF]
Cui K +6 more
europepmc +1 more source
A mini-review of mathematical methods in sprint performance. [PDF]
Fan Y.
europepmc +1 more source
Simultaneous Numerical Determination of Two Time-dependent Coefficients in Second Order Parabolic Equation With Nonlocal Initial and Boundary Conditions. [PDF]
A J Al-Shatrah M, Sabah Hussein M.
europepmc +1 more source
Research on joint vehicle routing optimization considering multiple distribution centers. [PDF]
Liu D, Li M, Lei Y, Yu P, Li B, Tang S.
europepmc +1 more source
Parametric optimization of graphite powder-mixed electrical discharge machining of Ni-Cr dental alloy by response surface methodology. [PDF]
San ES +7 more
europepmc +1 more source
Related searches:
MOPS — Mathematical optimization system
European Journal of Operational Research, 1994Abstract 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.
openaire +1 more source
Mathematical Optimization Techniques
2011The 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 +1 more
openaire +1 more source
Input optimization: I. Optimal realizations of mathematical models
Mathematical Programming, 1985Input 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''.
openaire +2 more sources
Mathematically Optimizing Water Management
Critical Transitions in Water and Environmental Resources Management, 2004Software 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.
openaire +1 more source

