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Chapter and Conference Paper
Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling
The heat sink is one of the most widely used devices for thermal management of electronic devices and automotive systems. The present study approaches the design of the heat sink with the aim of enhancing thei...
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Chapter and Conference Paper
A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil
Aerofoil self-noise can affect the performance of the overall system. One of the main goals of aircraft design is to create an aerofoil with minimum weight, cost, and self-noise, satisfying all design requirem...
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Chapter and Conference Paper
Unified Minimalistic Modeling of Piezoelectric Stack Actuators for Engineering Applications
Piezoelectric (PZ) actuator is widely recognized for its high precision and displacement accuracy even at nanometer ranges. A minimalistic model is proposed in the present work, for PZ stack actuators. In the ...
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Chapter and Conference Paper
Dual Multiobjective Quantum-Inspired Evolutionary Algorithm for a Sensor Arrangement in a 2D Environment
This paper proposes dual multiobjective quantum-inspired evolutionary algorithm (DMQEA) for a sensor arrangement problem in a 2D environment. DMQEA has a dual stage of dominance check by introducing secondary ...
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Chapter and Conference Paper
A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints
Equality constraints are difficult to handle by any optimization algorithm, including evolutionary methods. Much of the existing studies have concentrated on handling inequality constraints. Such methods may o...
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Chapter and Conference Paper
Constrained Engineering Design Optimization Using a Hybrid Bi-objective Evolutionary-Classical Methodology
Constrained engineering design optimization problems are usually computationally expensive due to non-linearity and non convexity of the constraint functions. Penalty function methods are found to be quite pop...
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Chapter and Conference Paper
A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization
In this paper, we propose a hybrid reference-point based evolutionary multi-objective optimization (EMO) algorithm coupled with the classical SQP procedure for solving constrained single-objective optimization...