in this paper, the optimal location and characteristics of tadas dampers in moment resisting steel structures, considering the application of minimum number of tadas dampers in a building as an objective function and the restriction for destruction of main members is studied. genetic algorithm in first generation randomly produces different chromosomes representing unique tadas dampers distribu...

In this paper, for the problem of high total fuel consumption distribution trucks when multiple concrete-mixing plants distribute concrete together, we established a green model and solved with an improved genetic algorithm to obtain scheme trucks. Firstly, is characteristics commercial tankers; secondly, adaptive elite retention strategy, crossover, mutation operator, immune operation are adde...

Crossover for evolutionary algorithms applied to permutation problems is a difficult and widely discussed topic. In this paper we use ideas from ant colony optimization to design a new permutation crossover operator. One of the advantages of the new crossover operator is the ease to introduce problem specific heuristic knowledge. Empirical tests on a travelling salesperson problem show that the...

This paper presents a feasibility-preserving crossover and mutation operator for evolutionary algorithms for constrained combinatorial problems. This novel operator is driven by an adapted Pseudo-Boolean solver that guarantees feasible offspring solutions. Hence, this allows the evolutionary algorithm to focus on the optimization of the objectives instead of searching for feasible solutions. Ba...

The traditional crossover operator used in genetic search exhibits a position-dependent bias called the dcfining-length bias. We show how this bias results in hidden biases that are difficult to anticipate and compensate for. We introduce a new crossover operator, shuffle crossover, that eliminates the position dependent bias of the traditional crossover operator by shuffling the representation...

The unmanned aerial vehicle (UAV) path planning problem is primarily concerned with avoiding collision obstacles while determining the best flight to target position. This paper first establishes a cost function transform UAV route issue into an optimization that meets UAV’s feasible requirements and safety constraints. Then, this introduces modified Mayfly Algorithm (modMA), which employs expo...

the purpose of this paper is to introduce the concept of l-fuzzybilinear operators. we obtain a decomposition theorem for l-fuzzy bilinearoperators and then prove that a l-fuzzy bilinear operator is the same as apowerset operator for the variable-basis introduced by s.e.rodabaugh (1991).finally we discuss the continuity of l-fuzzy bilinear operators.

In many Genetic Algorithms applications the objective is to nd a (near-)optimal solution using a limited amount of computation. Given these requirements it is diicult to nd a good balance between exploration and exploitation. Usually such a balance is found by tuning the various parameters (like the selective pressure, population size, the mutation-and crossover rate) of the Genetic Algorithm. ...

Traditional Genetic Algorithms (GA) use crossover and mutation as the main genetic operators to achieve population diversity. Previous work using a biologically inspired genetic operator called transposition, allowed the GA to reach better solutions by replacing the traditional crossover operators. In this paper we extend that work to the case of asexual reproduction. The GA efficiency was comp...

Generalized frames are an extension of frames in Hilbert  spaces and  Hilbert $C^*$-modules. In this paper, the concept ''Similar" for modular $g$-frames is introduced and all of operator duals (ordinary duals) of similar $g$-frames with respect to each other are characterized. Also, an operator dual of a given $g$-frame is studied where $g$-frame is constructed by a primary $g$-frame and an or...