optimisation algorithm
Penguins Search Optimisation Algorithm for Association Rules Mining
... search optimisation algorithm (PeSOA) [16] is a nature inspired approach based on the collaborative hunting strategies of ...the algorithm to quickly converge towards an optimal ...search ...
15
Applying a global optimisation algorithm to Fund of Hedge Funds portfolio optimisation
... constrained optimisation problems by combining global search (by partitioning the search space into smaller boxes) and local search (by partitioning sub-boxes based on desired functional ...the optimisation ...
24
Real-time path planning optimisation algorithm for obstacle avoidance
... In this case it was intended that the algorithm be kept as simple as possible for ease of implementation and due to hardware limitations associated with small mobiles. Thus, substantial problem simplification was ...
6
Optimisation of Gear Assemblies
... The genetic optimisation algorithm simulates the population development of living organisms. At the start the group of points-members is randomly selected, which - by analogy to biological systems - is ...
10
Simplifying transformations for nonlinear systems: Part II, statistical analysis of harmonic cancellation
... via optimisation algorithm aimed to determine the polynomial coefficients of a simplifying transformation and at the same time transform the new signal by zeroing the third order dominant ...
9
Fault isolation in complex dynamic systems using artificial intelligence techniques
... testing algorithm in particu lar and the fault diagnoser in ...selection optimisation point of view, the choice of the tests in a system at a particular moment is ...selection optimisation method ...
194
NODES PRIORITIZATION TRAVELLING SALESMAN PROBLEM
... on optimisation of navigation routes plied by delivering agents using distance and demand as the problem parameters in finding an optimal location of warehouse/depot to serve a given ...colony optimisation ...
10
Application of the Bees Algorithm for Constrained Mechanical Design Optimisation Problem
... (ABC) algorithm, Bee Colony Optimisation algorithm (BCO) and the Bees Algorithm (Karaboga & Basturk, 2007; Nikolić & Teodorović, 2013; Pham & Castellani, ...each algorithm ...
6
A search algorithm for global optimisation
... search optimisation algorithm has been ...search algorithm is as efficient as the GA and ASA in terms of global convergence speed, characterised by the total number of cost function evaluations ...
9
Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems
... ML optimisation over channel and data is decomposed into an iterative optimisation ...global optimisation algorithm called the repeated weighted boosting search is employed at the upper level ...
5
Optimisation of PID controller for load frequency control in two area power system using evolutionary particle swarm optimisation
... work, optimisation of parameter values of PID controller for load frequency control in two-area power system using two different particle swarm optimisation algorithms have been successfully ...EPSO ...
10
A Study and Application of Scatter Search Feed ACO Algorithm in Forecasting the Influence of Turning Parameters during AlMg1SiCu Machining
... ACO Algorithm. The second best algorithm’s (Scatter Search Algorithm) outcome is taken as the input to the first best algorithm (Ant Colony Optimisation Algorithm) based on the ...
11
Bim and genetic algorithm optimisation for sustainable building envelope design
... the optimisation process. The optimisation tool helps the decision maker to select the best possible option after comparing OTTV and cost of each combination that produces the optimal ...
9
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation
... In this paper we present a systematic analysis of the same hyper-heuristic considered in (Lehre and ¨ Ozcan 2013) for multimodal optimisation problems where the considerable advantages of changing the selection ...
8
Distributed Coordination and Optimisation of Network-Aware Electricity Prosumers
... stochastic optimisation algorithms make decisions for one step at a time using stochastic information for any ...stochastic optimisation has been used successfully on a wide variety of problems ...3.2. ...
161
Model-based controller design for a plastic film extrusion process
... multi-objective optimisation through the application of a genetic algorithm and simulation results are presented in this paper demonstrating improvements that can be achieved by the proposed controller over ...
7
Multiobjective memetic algorithm applied to the optimisation of water distribution systems
... memetic algorithm (MA) is introduced as a solution method to this type of ...genetic algorithm (GA) with a local improvement operator consisting of the classic Hooke and Jeeves direct search method and a ...
14
Performance optimisation of a lossless compression algorithm using the PACE toolkit
... pression algorithm, but this would result in a messy and cluttered model which would be very hard to maintain and ...the algorithm would be split up into a total of five sub- tasks, each of which would be ...
14
Femoral bone mesoscale structural architecture prediction using musculoskeletal and finite element modelling
... While wrapping surfaces and via points in the muscu- loskeletal model allow for a more physiological repre- sentation of muscles paths, compared to a straight line approach, they are not replicated as constructs in the ...
20
Hybrid evolutionary techniques for constrained optimisation design
... Genetic Algorithm (GA) and PSO for solving mixed-variables optimisation problems by incorporating evolutionary optimisation elements into the socially inspired ...BB algorithm trying to boost ...
166