This document presents a proposal to incorporate a fitness inheritance mechanism into an Evolution Strategy used to solve the general nonlinear programming problem. The aim is to find a trade-off between a lower number of evaluations of each solution and a good performance of the approach. A set of test problems taken from the specialized literature was used to test the capabilities of the prop...

Simulated annealing and and single trial versions of evolution strategies possess a close relationship when they are designed for optimization over continuous variables. Analytical investigations of their diierences and similarities lead to a cross-fertilization of both approaches, resulting in new theoretical results, new parallel population based algorithms, and a better understanding of the ...

Determining the best, or near best timetable of lecture/courses for a university department, which optimizes enrollment, is a challenging problem. Described herein is a platform developed to accept student-generated data of course preferences, the university department curriculum, and resource constraints. The platform then generates the best or near best feasible schedule using an Evolutionary...

This paper addresses the problem of managing requirements evolution in situations where functional and nonfunctional requirements interact and often contradict each other. It de nes a requirements representation scheme that captures the critical interplay between functional and non-functional requirements and makes explicit the trade-o between them. It then de nes a model of requirements evolut...

The performance of the evolutionary algorithms depends strongly upon the combined eeect of the operators (e.g. mutation) and the mappings from genotype to phenotype space and phenotype to t-ness space. We demonstrate, with the example of the canonical Genetic Algorithm (cGA) for parameter optimization, that the right choice of the mutation operator should depend on the genom position and we sho...

This paper proposes a rule-level coevolutionary approach based on multiple subpopulations to evolve fuzzy logic controllers (FLCs). Each rule is used as an individual and the subpopulations, each comprising a number of candidate rules, are randomly probed for evolution [asynchronous coevolution] via evolution strategy (ES). The rules belonging to the same subpopulation compete while those in di...

In the trend of internationalization, enterprises in Taiwan are confronted with global competition and pressure, which manifest the importance of improvement in competitiveness in all respects. The government has spared no effort to promote e-Business projects and introduce digital operations into various industries, so as to enhance working efficiency. This study investigates the IC component ...

The problem of setting the mutation step-size for real-coded evolutionary algorithms has received diierent answers: exogenous rules like the 1=5 rule, or endogenous factor like the self-adaptation of the step-size in the Gaussian mutation of modern Evolution Strategies. On the other hand, in the bitstring framework, the control of both crossover and mutation by means of Inductive Leaning has pr...

The effect of multi-parent recombination on Evolution Strategies(ES) is empirically investigated on a set of real-valued test functions. The multiparent versions of intermediate recombination, discrete recombination and global combined discrete recombination are applied to both objective variables and strategy parameters. Computer simulations of the multirecombinant ES((μ/μ,λ)-ES) are conducted...

This paper investigates the search performances of various meta-heuristics (MHs) for solving truss mass minimisation with dynamic constraints. Several established MHs were used to solve five truss optimisation problems. The results obtained from using the various MHs were statistically compared based upon convergence rate and consistency. It was found that the best optimisers for this design ta...