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What is Fitness Function

Research Advancements in Smart Technology, Optimization, and Renewable Energy
It is a kind of objective function that developed for a particular problem by containing all its parameters in order to find the desired solution.
Published in Chapter:
Optimal Sizing of Hybrid Wind and Solar Renewable Energy System: A Case Study of Ethiopia
Diriba Kajela Geleta (Department of Mathematics, Madda Walabu University, Oromia, Ethiopia) and Mukhdeep Singh Manshahia (Punjabi University, Patiala, India)
DOI: 10.4018/978-1-7998-3970-5.ch007
Abstract
If properly designed and utilized, earth has rich potential of clean energy in satisfying the energy demand of the world. In this chapter, nature-inspired methodology was employed to optimize hybrids of renewable energy system in the case of Jeldu district of Ethiopia. The main goal of the researchers here is to minimize the total annual cost of the system, which can be designed by using appropriate numbers of components based on the pre-designed constraints to satisfy the load demand. MATLAB code was designed for the proposed methodology, and the results were discussed. It was seen from the result that the proposed approach has solved the optimum sizing of defined problem with high convergence. The results show that energy demand of the village can be optimally satisfied by the use of wind and solar hybrid system. Moreover, the application of this chapter is important for countries like Ethiopia to increase access to electricity.
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More Results
Hybrid Particle Swarm and Gravitational Search Optimization Techniques for Charging Plug-In Hybrid Electric Vehicles
A necessary characteristic of evolutionary structural testing is that the fitness function is constructed on the basis of the software under test. The fitness function itself is not of interest for the problem; however, a well-constructed fitness function may substantially increase the chance of finding a solution and reaching higher coverage. Better guidance of the search can result in optimizations with less iterations, therefore leading to savings in resource expenditure.
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A Hybrid System for Automatic Infant Cry Recognition II
It is a function defined over the genetic representation and measures the quality of the represented solution. The fitness function is always problem dependent.
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A Hybrid Classification Algorithm and Its Application on Four Real-World Data Sets
A function that takes an elected solution to the problem as an input and yields as an output how the solution is fit.
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Predicting Uncertain Behavior and Performance Analysis of the Pulping System in a Paper Industry using PSO and Fuzzy Methodology
A process which evaluates a member of a population and gives a score or fitness. In most cases the goal is to find an individual with the maximum (or minimum) fitness.
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Two Enhancement Levels for Male Fertility Rate Categorization Using Whale Optimization and Pegasos Algorithms
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A Study of the Performance Effect of Genetic Operators
The objective function of the GA for evaluating a population of solutions.
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Genetic Algorithms for Wireless Sensor Networks
A particular type of objective function that quantifies the optimality of a solution in a genetic algorithm.
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Evolutionary Computing Approach for Ad-Hoc Networks
A function which maps the subjective property of a fitness of a solution to an objective value which can be used to arrange different solutions in the order of their suitability as final or intermediate solution.
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Using Statistical Models and Evolutionary Algorithms in Algorithmic Music Composition
A fitness function is an objective function that is used to evaluate how close a given construction is to achieving the pre-determined criteria.
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Applications of JGA to Operations Management and Vehicle Routing
Objective function that quantifies the adaptability of an individual. Solutions with better fitness values are more likely to survive and join the next generation in a genetic algorithm. It is analogous to the fitness concept in the natural selection process.
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Particle Swarm Optimization and Image Analysis
In evolutionary computation the objective function which is to be optimized.
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Artificial Bee Colony-Based Optimization of Hybrid Wind and Solar Renewable Energy System
It is a kind of objective function developed for a particular function in order to find the desired solution.
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An Object-Oriented Framework for Rapid Genetic Algorithm Development
Objective function that quantifies the adaptability of an individual. Solutions with better fitness values are more likely to survive and join the next generation in a genetic algorithm. It is analogous to the fitness concept in the natural selection process.
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Evolutionary Path Planning for Robot Navigation Under Varying Terrain Conditions
A function in a genetic algorithm that judges which individual chromosomes are most appropriate for a problem. The criteria for judging appropriateness are based upon the particular problem.
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Variants of Genetic Algorithm for Efficient Design of Multiplier-Less Finite Impulse Response Digital Filter
A mathematical function indicating the quality of the solution produced by any optimization problem.
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