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11 Result(s)
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Article
Failing And Not Falling (F&!F): Data-Enabled Classification Learning of Aircraft Accidents and Incidents
Journey by aircraft is the only option for long-distance transportation and also one of the frequently used modes of transportation of passengers. As a result, safety of passengers and efficiency of the aircra...
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Article
Topology optimization of compliant structures and mechanisms using constructive solid geometry for 2-d and 3-d applications
This research focuses on the establishment of a constructive solid geometry-based topology optimization (CSG-TOM) technique for the design of compliant structure and mechanism. The novelty of the method lies i...
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Book
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Chapter
Multi-objective Optimization: Classical and Evolutionary Approaches
Problems involving multiple conflicting objectives arise in most real world optimization problems. Evolutionary Algorithms (EAs) have gained a wide interest and success in solving problems of this nature for t...
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Chapter
Practical Applications in Constrained Evolutionary Multi-objective Optimization
Constrained optimization is applicable to most real world engineering science problems. An efficient constraint handling method must be robust, reliable and computationally efficient. However, the performance ...
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Article
Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization
The holy grail of constrained optimization is the development of an efficient, scale invariant and generic constraint handling procedure. To address these, the present paper proposes a unified approach of cons...
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Book
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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
Evolutionary Constrained Optimization: A Hybrid Approach
The holy grail of constrained optimization is the development of an efficient, scale invariant, and generic constraint-handling procedure in single- and multi-objective constrained optimization problems. Const...
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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...
