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1
Path planning algorithm for a car like robot based on MILP method
Published 2013“…The final phases are the design and build coalitions of linear programs and binary constraints to avoid collision with obstacles by Integer Mixed Linear Program (MILP). …”
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2
Double-layered hybrid neural network approach for solving mixed integer quadratic bilevel problems
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3
Recent research in cooperative path planning algorithms for multi-agent using mixed- integer linear programming
Published 2016“…This paper will review and compare the performances of those existing methods that can find solution without graph search algorithm such as Mixed-Integer Linear Programming (MILP) techniques which exactly solves the problem and then propose four alternative MILP formulations which are computationally less intensive and suited for real-time purposes, but yield a theoretically guaranteed suboptimal solution.…”
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4
Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid
Published 2023Conference Paper -
5
Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations
Published 2014“…To achieve the best allocation, optimization methods, such as metaheuristic algorithms are commonly used. …”
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6
Energy management system for optimal operation of microgrid consisting of PV, fuel cell and battery / Shivashankar Sukumar
Published 2017“…The objective functions in the proposed strategies are solved using linear programming and mixed integer linear programming. Since battery size influences operating cost of microgrid, a sizing method to determine optimal energy capacity of BESS in kWh is also proposed. …”
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7
Counting roots of the Polynomial systems by using mixed volume of the Newton polytopes / Nur Suhailah Norazhar, Nur Ain Sofiya Zainuri and Nor Suhada Mohd Rosdi
Published 2024“…The results from the Maple program are compared to confirm the root counting result using the mixed volume method. …”
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8
Long-term optimal planning of distributed generations and battery energy storage systems towards high integration of green energy considering uncertainty and demand response progra...
Published 2025“…Motivated by these goals, this paper introduces a long-term Mixed-Integer Nonlinear Programming (MINLP) multi-objective stochastic optimization planning model to increase the penetration of green energy in the distribution system (DS). …”
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9
Bi-objective mixed integer nonlinear programming model for low carbon location-inventory-routing problem with time windows and customer satisfaction
Published 2024“…This paper proposes a bi-objective mixed-integer nonlinear programming model with time window constraints that satisfies the normal distribution of stochastic customer demand. …”
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10
Development of a building energy analysis package (BEAP) and its application to the analysis of cool thermal energy storage systems
Published 2001“…It involves the development of new programs and modifications of an existing simulation program. …”
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11
Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…The other two models are bi-objective mixed integer nonlinear programming models with soft time window constraints developed to minimize costs and maximize customer satisfaction under uncertain demand, which include stochastic and fuzzy demand, respectively. …”
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12
Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
Published 2011“…Based on the simulated annealing (SA) algorithm, a scheduling method is proposed to solve the problem in a relatively short period of time. …”
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13
Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi
Published 2018“…While the weights of both objectives are considered to be fuzzy numbers due to their uncertainty, the model was formulated into a fuzzy multi-objective decision making (FMODM) framework called Fuzzy Weighted Sum Method (FWSM) and was shown to be a mixed-integer binary nonlinear programming type. …”
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14
Mixed convection in an inclined lid-driven square cavity with sinusoidal heating on top lid
Published 2017“…The vertical walls are insulated and the cavity is filled with water. Finite volume method and SIMPLE algorithm are employed to solve the dimensionless governing equations. …”
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15
Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses
Published 2014“…With regards to the complexity of the reverse logistics network, traditional method cannot be implemented for solving them. Thus, an evolutionary algorithm based genetic algorithm (GA) is applied as a solution methodology to solve mixed integer linear programming model and find the optimum solution. …”
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16
Urban connected vehicle lane planning based on improved Frank Wolfe algorithm
Published 2025“…To provide an effective optimization scheme to the mixed traffic flow road network in the networked environment, the study investigates the lane planning for urban connected vehicles method. …”
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17
Urban connected vehicle lane planning based on improved Frank Wolfe algorithm
Published 2025“…To provide an effective optimization scheme to the mixed traffic flow road network in the networked environment, the study investigates the lane planning for urban connected vehicles method. …”
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18
Development of multi-objective optimization methods for integrated scheduling of handling equipment (AGVs, QCs, SP-AS/RS) in automated container terminals
Published 2012“…Therefore, two meta-heuristic algorithms, namely genetic algorithm (GA) and simulated annealing (SA) algorithm, were developed to optimize the integrated scheduling of handling equipment. …”
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19
Hydro thermal coordination using particle swarm optimization / Amirul Asraf Abd Latif
Published 2012“…Total generation must meet the demand of the power system. The algorithm is developed using MATLAB program and tested on a system comprising or the one thermal unit and one hydro unit. …”
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20
Integrated supply chain planning under uncertainty using an improved stochastic approach
Published 2011“…The surrogate constraints method will be utilized to acceleration of the decomposition algorithm. …”
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