Search Results - (( java implementation path algorithm ) OR ( problem using maximization algorithm ))
Search alternatives:
- maximization algorithm »
- java implementation »
- implementation path »
- using maximization »
- path algorithm »
-
1
Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
Get full text
Get full text
Thesis -
2
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
Get full text
Get full text
Thesis -
3
Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
Get full text
Get full text
Get full text
Get full text
Article -
4
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
Get full text
Get full text
Thesis -
5
Simulated Kalman Filter optimization algorithm for maximization of wireless sensor networks coverage
Published 2019“…It had been successfully used for optimization of many engineering problems. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems
Published 2012“…This paper presents a novel algorithm, which is based on Gravitational Search Algorithm (GSA), for multiobjective optimization problems. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
7
-
8
Pre-emptive resource-constrained multimode project scheduling using genetic algorithm: a dynamic forward approach
Published 2016“…For this purpose, a Genetic Algorithm is applied to solve.Findings: The findings show that the proposed method is an effective way to maximize NPV in MRCPSP-DCF problems while activity splitting is allowed. …”
Get full text
Get full text
Get full text
Article -
9
Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model
Published 2018“…Clustering is one of the means in data mining of predicting the class based on separating the data categories from similar features. Expectation maximization (EM) is one of the representatives clustering algorithms which have broadly applied in solving classification problems by improving the density of data using the probability density function. …”
Get full text
Get full text
Get full text
Article -
10
Hybrid multi-objective optimization methods for in silico biochemical system production
Published 2016“…The use of Newton method is for dealing with biochemical system, Strength Pareto approach is for the multi-objective problem, GA is to maximize the production, and CooCA is to minimize the total component concentrations involved. …”
Get full text
Get full text
Thesis -
11
A new approach for optimum DG placement and sizing based on voltage stability maximization and minimization of power losses
Published 2013“…Particle Swarm Optimization (PSO) algorithm is used in this paper to solve the multi-objective problem. …”
Get full text
Get full text
Article -
12
Using artificial intelligence search in solving the camera placement problem
Published 2022“…Two case studies are used to evaluate those algorithms, and the camera placement problem is formulated as a coverage maximization problem. …”
Get full text
Get full text
Book -
13
Shuffled Frog Leaping Algorithm (SFLA) for solving profit based unit commitment problem / Nurul Izzati Mohd Hanapiah
Published 2016“…This thesis presents the Shuffled Frog Leaping Algorithm (SFLA) technique is used to solve the Profit Based Unit Commitment Problem (PBUCP). …”
Get full text
Get full text
Thesis -
14
Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
Published 2014“…The VEGSA algorithms use a number of populations of particles. …”
Get full text
Get full text
Get full text
Article -
15
Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…An improved particle swarm algorithm (HPSOGA) is used to solve complex problems of water resources optimization. …”
Get full text
Get full text
Get full text
Thesis -
16
Performance evaluation of vector evaluated gravitational search algorithm II
Published 2014“…The VEGSAII algorithm uses a number of populations of particles. …”
Get full text
Get full text
Conference or Workshop Item -
17
Indoor comfort and energy consumption optimization using an inertia weight artificial bee colony algorithm
Published 2022“…Comfort level maximization and energy consumption minimization are optimization problems. …”
Get full text
Get full text
Get full text
Article -
18
Indoor comfort and energy consumption optimization using an inertia weight artificial bee colony algorithm
Published 2022“…Comfort level maximization and energy consumption minimization are optimization problems. …”
Get full text
Get full text
Get full text
Article -
19
Development of optimization Alghorithm for uncertain non-linear dynamical system
Published 2004“…Algorithms used to solve these problems are expected to satisfy the objectives consistently and since time translates into cost, must also be fast. …”
Get full text
Get full text
Monograph -
20
Efficient radio resource management algorithms for downlink long term evolution networks
Published 2018“…The algorithm is based on the idea of the optimization problem in which resource allocation problem is formulated as an optimization problem. …”
Get full text
Get full text
Thesis
