... (optimization techniques; fuzzy logic; convex functions). The objective of this special issue is to explore the advances of fuzzy logic in a large number of real-life applications and commercial products in a variety of fields. Fuzzy Linear Programming models and methods has been one of the most and well...

... Feature weighting Multiobjective optimization Selection Optimization techniques Genetic and evolutionary biometrics (GEB) (Abegaz et al., 2011 ; Adams et al., 2010, 2012 ; Alford et al., 2012a, b ; Shelton et al., 2011, 2012) is a new field of study...

... Optimization techniques Neural nets Design calculations Fuzzy c‐means clustering Multi‐objective particle swarm optimization Information granulation‐based fuzzy radial basis function neural network Ordinary least squares method Weighted least square method The fundamental objective of fuzzy...

... algorithm Traveling salesman problem Programming and algorithm theory Optimization techniques In recent years, we have seen that many algorithms inspired by natural phenomenon or mechanisms. In this paper, we mainly focus on such a new kind of algorithm, which is called biogeography‐based...

... the barebones PSO and differential evolution (Storn and Price, 1997), another optimization technique. Other important PSO algorithm variation is the cooperative particle optimizer (van den Bergh and Engelbrecht, 2001 ; van den Bergh and Engelbrecht, 2004) which is based on the cooperative GA proposed...

... v_i∈V_i, 1≤i≤D. © Emerald Group Publishing Limited 2009 Process efficiency Benchmarking Optimization techniques Algorithmic languages Numerical optimization, as described by Nocedal and Wright (1999) , is important in decision...

... Publishing Limited 2008 Social networks Problem solving Business process re‐engineering Process efficiency Optimization techniques Recently, a number of socially motivated algorithms have been used to solve optimization problems. Some of the example algorithms are the particle swarm...

... Publishing Limited 2008 Optimization techniques Programming and algorithm theory Variance Particle swarm optimization (PSO) algorithm is a population‐based optimization technique inspired by the motion of a bird flock, or fish schooling. In the PSO model, each particle flies over a real...

... are extensively used to solve different optimization problems such as industrial planning, resource allocation, scheduling, decision making, pattern recognition and machine learning. Furthermore, optimization techniques are widely used in many fields such as chemistry, business, industry, engineering and computer...

... of such a graph, showing all edges connecting to middle C. Optimization techniques Programming and algorithm theory Music Computer applications The computer assisted creation of music has fascinated researchers and composers alike for several years. While composing is essentially algorithmic...

... several branches that exist in the path from the source to the destination. Programming and algorithm theory Optimization techniques Systems and control theory The multiple knapsack problem (MKP), is an NP‐hard combinatorial optimization problem with applications such as cutting stock...

... Spacecraft navigation Optimization techniques Flight operations Tracking The general equations of motion given in equation (1) can be linearly mapped from Cartesian Hill coordinates to a set of orbital elements by means of a transformation matrix A (Schaub and Junkins, 2003): Equation 3 where χ...

... Fuzzy logic Optimization techniques Problem solving Chromosomes Genetic algorithm (GA) is a large‐scale parallel stochastic searching and optimizing method inspired by the biological mechanisms of evolution and heredity. In recent years, GA has been widely used for numerical optimization...