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# Engineering Optimization - Science topic

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Questions related to Engineering Optimization

I'm looking for Matlab code for optimal capacitor placement/sizing using genetic algorithm.

I need to know the most recent Artificial Intelligent (AI) and Evolutionary Algorithm (EA) Optimization methods to solve Optimal Power Flow Optimization problem.

I am using Optimizations techniques for my research work on demand response. To deal with uncertain parameters and variables stochastic and robust optimization are used. I wanted to learn these techniques and subsequently implement in my research work. What are the good books and optimization softwares to start with?

I am interested in the optimal weight design of a gear train problem using optimization methods. There are a variety of studies on this topic. One of them is "A Solution Method for Optimal Weight Design Problem of the Gear Using Genetic Algorithms" by Takao YOKOTA et al. The objective funticon and constraints are described as same formulations in not only the study of Yokota et al. but also the later studies. Nevertheless, I cannot find any detail about two terms. The former one is "b

_{5}" mentioned in the constraint "g_{5}". g_{5}is defined as the distance between the axes. The latter one is "l" mentioned in the objective function. "l" is defined as length of boss.Could you inform me about these terms. Do the terms stand for a formulation or a constant value.

Please Can someone provide me a Matlab code(GA ,PSO, DE) to solve hydrothermal schedule problems?

I used to solve with GAMS , now I want to use Matlab

Thank.....

Almost all the optimization algorithms considers Function Evaluations to compare performance among various algorithms.

Do Function Evaluations number is the most important criteria? If yes/no why?

I have formulated optimization problem for building, where cost concerns with energy consumption and constraints are related to hardware limits and model of building. To solve this formulation, I need to know if problem is convex or non-convex, to select appropriate tool to solve the same.

Thanks a million in advance.

The loss function used in ListMLE or ListNet are smooth and differentiable thus optimization of loss function is easier as compared to pairwise LTR algorithm. But is any increase in performance occur due to reducing the features in ListNet and ListMLE ?

My question is how to relate my fitness function equation with my parameters that i want to optimize when writing the code in matlab please i need a help?

Now I am working on the blast furnace iron-making process modelling. There are a large number of available process variables possibly related to the quality characteristics of hot metal (pig iron). However, some process variables may be not only garbage but also sometimes degrade the performance of a predictor designed on the basis of a finite number of training samples. In such a case, we need to find an efficient variable selection algorithm to select the useful variables from the candidate variable set for improving the performance of a predictor.

On the Anfis editor gui, there are two default optimization methods namely "hybrid" and "backprop". However, I want to use the conjugate gradient descent method to do my optimization but I do not have any idea on how to have it as an option in the optimization method dropdown on the Anfis editor interface in matlab.

Dear Sir,

I am student of B.tech electrical engineering of Nirma University in final semester. I am doing my major project in which I am developing the code for BLDC motor design using particle swarm optimization.

I am making single objective multi-variable code for motor design, in this i am facing issue in calling multi-variable function. Can you show me the syntax of calling multi-variable function in PSO initialization?

I need a case study of an energy hub system with multiobjective function in order to well understand the concept of energy hub with multicriteria.

Am working on Antenna design using pso but driving the fitness function for optimizing the width of my antenna is giving me proble. Please how can i formulate my fitness function ?

Dear Dr. Skender Kabashi,

Does this project involve HVAC Optimization and control as well besides the GHG and airpollution?

Regards, Junaid

in my current work i employ the GA optimisation method in matlab to search for the best solution, hwoever i find that the GA method easily converges to local optimum but not global one, especially when this local optimum is very close to global optimum, could you help to explain how this happend, and how i can improve the GA method to avoid converging to the local optimum? thank you!!

Any body having partical swarm optimization alogrithum implemented in MATLAB for multi objective, multi constraint problem.

Hi all, i am working on global optimization solution to economic load dispatch algorithms-particularly multi-objective optimization. could you please provide the coding for ant-lion optimization algorithm?

How can we leverage the lossless convexication technique to convexify them

beforehand? I can't do this work for my own question by referring to Ackmese and Blackmore's paper according to the paper 'Successive Convexication of Non-Convex Optimal Control Problems with State Constraints' said, can you help me with it?

I am working on this project currently and I am not able to find any flowchart/algorithm for Dial a ride problem in order to code it in Matlab.Please do share any thesis papers/literature review if you have any.

I want to modify Clarke and wright saving algorithm so i can afford heterogeneous fleet. In my current project I implement the saving algorithm in c# to solve asymmetric capacitated vehicle routing problem and GMap.NET to visualize the route. But the saving algorithm only afford homogeneous fleet so I search in many literature. After many hours searching, I can't find suitable information. So is there any reference that explain about heterogeneous fleet in Clarke and Wright saving algorithm ?.

Note : this is my first question and I'm interested in vrp problem but I don't know where to ask. Sory about my english grammar.

1. Recent or existing optimisation techniques which is applied to optimisation of thermal systems.

2. Recent optimisation tools used in thermal engineering applications.

Dear all,

I am working on size optimization of frame structure. And I am using Design of planar steel frames using Teaching–Learning Based Optimization as a base paper which is based on the American Institute for Steel Construction (AISC) Load and Resistance Factor Design (LRFD).

Here I faced difficulty to find density of material. For that I refereed similar typed of paper but density is not specified.

Can anyone help me to get density of it.

Thanks

Dear all,

I am working on Modification of meta heuristics. I need to perform Friedman Rank Test to check statistical test of CEC 2014.

Here, I have best, mean, and standard deviations of all meta heuristics for 60 runs. The sample file 'test 1' shows sample results of CEC2014 functions 1 and 2 for 6 runs.

Please share your view about this test.

Thanks

Dear all,

I am working on optimization algorithms for their efficiency/inefficiency. These algorithms involve:

1. Gradient based methods: Variable Metric method, BFGS.

2. Derivative Free Methods: Hooke and Jeeves Method, Nelder-Mead Method, Multi-directional Simplex Method of V. Torczon, Frame based method of CJ Price.

3. Meta-heuristics: PSO, ABC, DE, FA, WCA, TLBO, CMA-ES

I need some suggestions in choosing some real word optimization problems for the applications of the modified approaches of the above algorithms.

Regards

Javaid Ali

please refer a book that deals with the detailed exploration and exploitation of metaheuristics of recent time.

Dear sir,

I want to work on the modified PID controller and compare with conventional PID controller and tune by using optimization algorithm, then can I change the limits bound for MPID controller for every gain in comparison of conventional controller?

According to the algo "the initial soil on each path (edge) is denoted by the constant InitSoil such that the soil of the path between every two nodes i and j is set by soil(i, j) = InitSoil."

If the soil is same at every edge, won't the probability of a water drop to move from the ith node to any other node be same?

Dear all,

Please share your view and relevant materials for symbolic regression in optimization methods.

Thanks

I want to perform cycle studies on an existing system. So I need to modify some existing pipes to control the temperature.

Do you know if heater and cooler in one piece jacket exists ? Like something containing heating wires and cooling Peltier elements ?

Or if you have any suggestion, I'm listening

The PCM whose latent heat of fusion is more and must have high cyclicity.

ABSOLUTE VALUE OPERATOR LINEARIZATION

I have a nonlinear term in the objective function of my optimization problem as an Absolute Value function like |x-a|.

As far as I know, an Absolute Value operator makes the optimization problems nonlinear (i.e. NLP). How can I make it linear (LP or MILP)?

Max f(x)=g(x) + b*|x-a|

s.t. some linear constraints

Regards,

Morteza Shabanzadeh

I want to know that how to change the second law thermodynamics efficiency (exergy efficiency) of compressor with respect to compressor ratio?

Is it increases? or decreases?

Do you have any articles in this regard?

thanks for your help,

best,

Ali

Hello,

I would like to know that how I can find the number of variables (especially the integer ones) in GAMS (General Algebraic Modeling System) codes.

Does GAMS platform have any options to show the number of variables?

Any help would be appreciated.

Regards,

Morteza

For some practical problems and objectives can be applied multidimensional optimization with a given distribution of ranked variables be applied?

Distribution of ranked variables of a searching vector should be similar to the vector variables with a given analytical dependence.

For example, a vector similar to a hyperbola.

I have developed a method for multi-objective optimization placement capacitor banks in radial distribution networks to optimize the loss of active energy

NONANTICIPATIVITY

As far as I know, decision making under uncertainty can often be formalized as a stochastic problem. I have seen a constraint which is called "Nonanticipativity" in the most papers regarding Stochastic Programming.

I would like to know that

1) What is its concept and role?

2) Is it essential for stochastic optimization problems or just for some especial stochastic problems?

3) Can I ignore it?

I would greatly appreciate any help.

Regards,

Morteza Shabanzadeh

Hello,

As far as I know, the meta-heuristic algorithms such as GA, PSO, GSA, etc. generally find the optimal solution of 'unconstrained' optimization problems. If I have some constrains (equality and/or inequality equations), how will I be able to consider and model them in these kinds of algorithms?

I would greatly appreciate it if you kindly help me in this matter.

Regards,

Morteza Shabanzadeh

Several current optimization techniques based on evolutionary evolution try to mimic the social behavior of living communities: fishes, birds, ants, bees and even the human being. It is sometimes mentioned the existence of a “social intelligence”. Are the bases of such techniques always consistent? The resulting algorithms can work better than the supporting bases? There is not the risk of introduce or increasing the empiricist component of the approach?

I want to find the force/pressure of expanding mandrel of collet to optimize its parameters.

Please suggest, how to analyze this pressure using MATLAB or ANSYS or CREO.

Further I want to interlink these results with MATLAB to optimize design parameters for minimization of force/pressure of expanding mandrel.

Assume,

A=[1 2 3 4]

and I need all probable connection of any two number

like

Answer = [1 2; 1 3;1 4;2 3;2 4;3 4]

or for 3 connections

Answer =[1 2 3;1 2 4; 1 2 4; 2 3 4]

I need a multi-objective optimization algorithm

I have a single objective optimization, for example GWO, and I need a multi-objective algorithm. Then I want to convert it to multi objective.

There is positive definiteness of the stiffness matrix of truss, and this can be checked by positive Eigenvalues. But I'm not getting all Eigenvalues as positive.

There are many areas in electrical as well electronics engineering where we can apply optimization to minimize objective function. For example to minimize Total Harmonic Distortion (THD) in multilevel Inverter researcher had applied optimization Technique (like GA,PSO etc).

In this forum researcher (specially electrical & electronics field) will get a overall idea where he/she can apply his optimization knowledge and give his contribution to existing system more improve in future.

Please share your own experience where you have applied optimization program.

Thanks for sharing your knowledge on this forum in advance.

There are many Optimization method /Evolutionary algorithms (EAs) in literature. Some of them is more effective (for solving linear/non linear problem) compared to other.
Algorithm References Inventor&Year
1. Ant colony optimization (ACO) ; I Dorigo and Stutzle (2004)
2. Artificial immune system optimization; Cutello and Nicosia (2002)
3. Bacterial foraging optimization ; Kim, Abraham and Cho (2007)
4. Bee optimization ; Karaboga and Bosturk (2007)
Pham et al (2006)
5. Cuckoo algorithm ; Yang and Deb (2009, 2010)
6. Differential evolution (DE) ; Storn and Price (1995, 1997)
7. Firefly optimization ; Yang (2010)
8. Fish optimization ; Huang and Zhou (2008)
9.Genetic algorithms (GA) ; Haupt and Haupt (2004)
10.Particle swarm optimization (PSO), Binary Particle Swarm Optimization (BPSO); Eberhart and Kennedy (1995)
11.Raindrop optimization ; Shah-Hosseini (2009)
12.Simulated annealing ; Kirkpatrick, Gelatt and Vecchi (1983)
13.Biogeography-based optimization (BBO),
14. Chemical reaction optimization (CRO)
15. A group search optimizer (GSO),
16. Imperialist algorithm
17. Swine flow Optimization Algorithm.
18. Teaching Learning Based Optimization(TLBO)
19. Bayesian Optimization Algorithms (BOA)
20. Population-based incremental learning (PBIL)
21. Evolution strategy with covariance matrix adaptation (CMA-ES)
22. Charged system search Optimization Algorithm
23. Continuous scatter search (CSS) Optimization Algorithm
24. Tabu search Continuous Optimization
25. Evolutionary programming
26. League championship algorithm
27. Harmony search Optimization algorithm
28. Gravitational search algorithm Optimization
29. Evolution strategies Optimization
30. Firework algorithm, Ying Tan, 2010
31. Big-bang big-crunch Optimization algorithm, OK Erol, 2006
32. Artificial bee colony optimization (ABC), Karaboga,2005
33. Backtracking Search Optimization algorithm (BSA)
34. Differential Search Algorithm (DSA) (A modernized particle swarm optimization algorithm)
35. Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA)
36. Multi-objective bat algorithm (MOBA) Binary Bat Algorithm (BBA)
37. Flower Pollination Algorithm
38. The Wind Driven Optimization (WDO) algorithm
39. Grey Wolf Optimizer (GWO)
40. Generative Algorithms
41. Hybrid Differential Evolution Algorithm With Adaptive Crossover Mechanism
42.Lloyd's Algorithm
43.One Rank Cuckoo Search (ORCS) algorithm: An improved cuckoo search optimization algorithm
44. Huffman Algorithm
45. Active-Set Algorithm (ASA)
46. Random Search Algorithm
47. Alternating Conditional Expectation algorithm (ACE)
48. Normalized Normal Constraint (NNC) algorithm
There are many other optimization algorithm recently invented. Some optimization algorithm are combination of two or more (which are generally called Hybrid optimization Technique). Researcher are requested to share their personal experience which algorithm is effective to solve particular objective problem (linear/nonlinear).
What are the recently invented optimization algorithm and name of the inventor.
Which algorithm requires less time compared to other?
Most of the researcher waste time by choosing the right optimization technique for solving their optimization problem.This forum will help a lot for them.
I hope Your valuable suggestion will be very helpful to the researcher to choose right optimization method for solving their problems.

I am working on a bridge design project. I would like to know about the optimization software I can use for structural optimization of the bridge?

I am trying to simulate real road traffic at one of the busiest toll plazas during peak time. I'm having difficulty in getting the raw data from the authority. Because of the absence of real time data, I decided to use simulation to give a closest picture of the real situations.

Who can constitute an optimization equation that includes these variances: circuit breaker position (or recloser, disconnector), its price and minimal power loss in distribution network?

I am looking for a GAMS source code for solving multi-objective optimization problems.

Implicit decision variable is the variable internally defining by the constraints.

Optimum capacitor placement and sizing problem is better solved with software computations.