non-dominated
Weight and deflection optimization of Cantilever Beam using a modified Non-Dominated sorting Genetic Algorithm
... In the present paper, an improved methodology for the multi-objective optimization of cantilever beam structure. A modified form of multi-objective genetic algorithm, based on the elitist non-dominated ...
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MULTI-OBJECTIVE OPTIMIZATION OF LAMINATED COMPOSITE PLATE USING A NON-DOMINATED SORTING GENETIC ALGORITHM
... The design of practical composite structures often requires the maximization or minimization of multiple, often conflicting, objectives. Walker and Kumar have tackled complex multi-objective optimization problems by ...
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Well-dispersed subsets of non-dominated solutions for MOMILP problem
... of non-dominated solutions of multiple objective mixed integer linear programming ...subset non-dominated solutions (WDSNDSs) of ...of non-dominated solutions from the ideal ...
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Enhanced non-dominated sorting genetic algorithm for test case optimization
... Multiple variants of GA have been implemented throughout the years as test cases optimization algorithm such as Weight-Based Genetic Algorithm (WBGA), Fuzzy-Based Age Extension of Genetic Algorithm (FAexGA) and ...
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Non Dominated Sorting Genetic Algorithm Based Energy Aware Clustering Protocol
... Abstract: Energy conservation is defined as an ill posed problem in wireless sensor networks. Many protocols have been proposed improve the energy conservation. But, it has been found that the actual most of the existing ...
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A new method to determine a well-dispersed subsets of non-dominated vectors for MOMILP problem
... well-dispersed non-dominated vectors of multiple objective mixed integer linear programming (MOMILP) problem with bounded or unbounded feasible region, while the previous methods consider only problems with ...
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Efficient Constellation Design Based on Improved Non-dominated Sorting Genetic Algorithm-II
... Abstract—Constellation design is a typical multiple peaks, multiple valleys and non-linear multi-objective optimization problem. How to design satellite constellation is one of the key sectors of research in the ...
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Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
... a non-dominated sorting genetic algorithm (NSGA-II) as a well-known multi-objective evolutionary algorithm is used and developed to solve a number of test ...
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PUMA 560 Trajectory Control Using NSGA-II Technique with Real Valued Operators
... After the algorithms mentioned above, MOEAS based on the elitism strategy were presented, such as the NSGA-II algorithm introduced by Deb, Pratap, Agarwal, & Meyarivan in 2002 [14]. NSGA-II algorithm uses ...
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Multi-objective optimization of PID controller parameters using genetic algorithm
... Chapter 5 analyzes the GCGA through several popular test problems and compares its performances with the well known Non-dominated Sorting Genetic Algorithm II (NSGA-II). This chapter also shows the ...
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Multi-objective management models for optimal and sustainable use of coastal aquifers
... A management model for the optimal management of coastal aquifers is developed using surrogate based simulation and multi-objective genetic algorithm. The multi- objective optimization algorithm is able to derive the ...
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A Multi Objective Chaotic Particle Swarm Optimization Algorithm Based on Improved Inertial Weights
... Focusing on the research status at home and abroad, the main research results are summarized as improving the updating strategy of external archive, the selection strategy of global guide, combining the particle swarm ...
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Immune Optimization Approach for Dynamic Constrained Multi Objective Multimodal Optimization Problems
... the non-dominated sets found by DNSGAII-A, DNSGAII-B and DCMMIOA are with similar distributions and coverage scopes, but there are some subtle differences between ...
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Solving Multi-objective Optimal Control Problems of chemical processes using Hybrid Evolutionary Algorithm
... The Non-Dominated Sorting Genetic Algorithm (NSGA) was introduced by Srinivas and Deb [35] ...identifies non-dominated solutions in the population , at each generation , to form ...
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Learning automata and sigma imperialist competitive algorithm for optimization of single and multi-objective functions
... Hence, one of the primary concerns of this study is to develop a MOEA based on the newly introduced EAs to utilize their capabilities in the multi-objective domain. The new method uses fast non-dominated ...
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Double-Objective Optimization Based on Movement Dynamics of Charged Particles
... inheritance non-dominated sorting genetic algorithm (NSGA) is one of the most famous algorithms ...and non-dominant particles or chromosomes should be found in every ...
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Optimum Pareto design of vehicle vibration model excited by non-stationary random road using multi-objective differential evolution algorithm with dynamically adaptable mutation factor
... by non-stationary random road profile. In this way, non-dominated sorting algorithm and crowding distance criterion have been combined to differential evolution with fuzzified mutation in order to ...
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Identifying efficient solutions via simulation : myopic multi objective budget allocation for the bi objective case
... Instead of using a single utility function, Branke and Gamer (2007) use a distri- bution of linear utility functions, and aims to minimise the expected opportunity cost over this distribution of weights using a variant ...
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A knowledge-based NSGA-II approach for scheduling in virtual manufacturing cells
... in non-dominated fronts. The first non-dominated front contains all non-dominated solutions in the ...second non-dominated front contains all ...
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Moth Dolphin Optimization Algorithm: A Nature Inspired Technique
... AbstractThis paper proposes a moth-dolphin based nature inspired optimization algorithm. This algorithm embeds the communication behavior of dolphin to Moth. The Moth route towards moon through the moon light in an ...
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