Meta-Heuristic Approach for Software Project Risk Schedule Analysis

2018 ◽  
pp. 136-149
Author(s):  
Isha Sharma ◽  
Deepshikha Chhabra
Keyword(s):  
Genetic Algorithm ◽  
Natural Selection ◽  
Resource Constraints ◽  
Biological Evolution ◽  
Software Project ◽  
Start Time ◽  
Time Duration ◽  
Project Risk ◽  
Limited Availability ◽  
Multiple Resource

This chapter illustrates a technique to shorten the time duration using structured method. This is done by considering multiple resource constraints apart from time for the software project. The resource constraints are due to limited availability of resources (hardware, software, people, etc.). The difficulty is to locate minimal duration schedule. This is done by assigning the start time for each activity with the clear representation of precedence among them and resources available. There are various optimization approaches available but authors have selected a genetic algorithm. This method emulates the concept of biological evolution that is based on natural selection. This chapter concludes that additional research is needed in this area to provide better outcomes.

Randomness and Complexity

2018 ◽  
Author(s):  
Steven E. Vigdor
Keyword(s):  
Quantum Mechanics ◽  
Natural Selection ◽  
Rna World ◽  
Biological Evolution ◽  
Variable Theory ◽  
Cosmological Natural Selection ◽  
Einstein Podolsky Rosen ◽  
World Hypothesis ◽  
Rna World Hypothesis

Chapter 7 describes the fundamental role of randomness in quantum mechanics, in generating the first biomolecules, and in biological evolution. Experiments testing the Einstein–Podolsky–Rosen paradox have demonstrated, via Bell’s inequalities, that no local hidden variable theory can provide a viable alternative to quantum mechanics, with its fundamental randomness built in. Randomness presumably plays an equally important role in the chemical assembly of a wide array of polymer molecules to be sampled for their ability to store genetic information and self-replicate, fueling the sort of abiogenesis assumed in the RNA world hypothesis of life’s beginnings. Evidence for random mutations in biological evolution, microevolution of both bacteria and antibodies and macroevolution of the species, is briefly reviewed. The importance of natural selection in guiding the adaptation of species to changing environments is emphasized. A speculative role of cosmological natural selection for black-hole fecundity in the evolution of universes is discussed.

scholarly journals An Improved MOEA/D Based on Reference Distance for Software Project Portfolio Optimization

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Jing Xiao ◽  
Jing-Jing Li ◽  
Xi-Xi Hong ◽  
Min-Mei Huang ◽  
Xiao-Min Hu ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Evolutionary Algorithms ◽  
Portfolio Optimization ◽  
Optimization Problem ◽  
Experimental Comparison ◽  
Software Project ◽  
Project Portfolio ◽  
Multiobjective Evolutionary Algorithms ◽  
Reference Distance ◽  
Nondominated Sorting

As it is becoming extremely competitive in software industry, large software companies have to select their project portfolio to gain maximum return with limited resources under many constraints. Project portfolio optimization using multiobjective evolutionary algorithms is promising because they can provide solutions on the Pareto-optimal front that are difficult to be obtained by manual approaches. In this paper, we propose an improved MOEA/D (multiobjective evolutionary algorithm based on decomposition) based on reference distance (MOEA/D_RD) to solve the software project portfolio optimization problems with optimizing 2, 3, and 4 objectives. MOEA/D_RD replaces solutions based on reference distance during evolution process. Experimental comparison and analysis are performed among MOEA/D_RD and several state-of-the-art multiobjective evolutionary algorithms, that is, MOEA/D, nondominated sorting genetic algorithm II (NSGA2), and nondominated sorting genetic algorithm III (NSGA3). The results show that MOEA/D_RD and NSGA2 can solve the software project portfolio optimization problem more effectively. For 4-objective optimization problem, MOEA/D_RD is the most efficient algorithm compared with MOEA/D, NSGA2, and NSGA3 in terms of coverage, distribution, and stability of solutions.

scholarly journals The Impact of 'Anthropotechnology' on Human Evolution

2010 ◽  
Vol 14 (2) ◽  
pp. 72-87 ◽  
Author(s):  
Sylvia Blad ◽  
Keyword(s):  
Natural Selection ◽  
Human Evolution ◽  
Common Ancestor ◽  
Biological Evolution ◽  
Genetic Effects ◽  
Evolutionary Path ◽  
Peter Sloterdijk ◽  
The Impact

From the time that they diverged from their common ancestor, chimpanzees and humans have had a very different evolutionary path. It seems obvious that the appearance of culture and technology has increasingly alienated humans from the path of natural selection that has informed chimpanzee evolution. According to philosopher Peter Sloterdijk any type of technology is bound to have genetic effects. But to what extent do genomic comparisons provide evidence for such an impact of ‘anthropotechnology’ on our biological evolution?

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